Entries tagged [big]

Tuesday February 19, 2019

The Apache® Software Foundation Announces Apache Arrow™ Momentum

Open Source Big Data in-memory columnar layer adopted by dozens of Open Source and commercial technologies; exceeded 1,000,000 monthly downloads within first three years as an Apache Top-Level Project

Wakefield, MA —19 February 2019— The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, today announced momentum with Apache® Arrow™, the Open Source Big Data in-memory columnar layer.

Since the founding of the project in January 2016, Apache Arrow has quickly become the defacto standard for representing and processing analytical data in memory, accelerating analytical processing and interchange by more than 100x.

"When we became a Top-Level Project, we projected that the majority of the world's data will be processed through Arrow within the next decade," said Jacques Nadeau, Vice President of Apache Arrow. "In just three years time, we are proud to see Arrow's substantial industry adoption and increased value across a wide range of analytical, machine learning, and artificial intelligence workloads."

Highlights of Apache Arrow's success include:

Industry Adoption —more than 20 major technologies adopted Arrow to accelerate in-memory analytics, including Apache Spark, NVIDIA RAPIDS, pandas, and Dremio, among others. A list of known Open Source and commercial implementations can be found at https://arrow.apache.org/powered_by/

Millions of Downloads —leveraging and integrating Apache Arrow into many other technologies has bolstered downloads to more than 1,000,000 each month.

New Language Support —as a cross-language development platform, supporting multiple programming languages is paramount. Apache Arrow has grown from supporting one language to eleven different languages today; they include C++, Java, Python, R, C#, Javascript, and Ruby, among others.

Seamless Data Format Support —Arrow supports different data types, both simple and nested, located in arbitrary memory such as regular system RAM, memory-mapped files or on-GPU memory. In addition, it can ingest data from popular storage formats such as Apache Parquet, CSV files, Apache ORC, JSON, and more.

Major Code Donations —Apache Arrow's new features and expanded functionality are due in part to code and component donations that include:
  • C# Library
  • Gandiva LLVM-based Expression Compiler
  • Go Library
  • Javascript Library
  • Plasma Shared Memory Object Store
  • Ruby Libraries (Apache Arrow and Apache Parquet)
  • Rust Libraries (Parquet and DataFusion Query Engine)
Community and Contributor Growth —over the past 12 months, nearly 300 individuals have submitted more than 3,000 contributions that have grown the Apache Arrow code base by 300,000 lines of code. The Arrow community is welcoming approximately 10 new contributors each month.


In January the project announced its most recent release, Apache Arrow 0.12.0, which reflects more than 600 enhancements developed during Q4 2018. The Apache Arrow community is actively working on a number of impactful new initiatives that include solving high performance analytical problems and allowing for more efficient data distribution across entire clusters.

"Apache Arrow's rapid industry adoption and developer community growth supports our original thesis of the importance of a language-independent open standard for columnar data," said Wes McKinney, member of the Apache Arrow Project Management Committee, and creator of Python's pandas project. "Additionally, we are seeing productive collaborations take place not only between programming languages but also between the database systems and data science worlds. We look forward to welcoming more data system developers into our community."

About Apache Arrow
Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, C#, Go, Java, JavaScript, MATLAB, Python, R, Ruby, and Rust.

Availability and Oversight
Apache Arrow software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache Arrow, visit http://arrow.apache.org/

About The Apache Software Foundation (ASF)
Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 730 individual Members and 7,000 Committers across six continents successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official global conference series. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Aetna, Alibaba Cloud Computing, Anonymous, ARM, Baidu, Bloomberg, Budget Direct, Capital One, Cerner, Cloudera, Comcast, Facebook, Google, Handshake, Hortonworks, Huawei, IBM, Indeed, Inspur, LeaseWeb, Microsoft, Oath, ODPi, Pineapple Fund, Pivotal, Private Internet Access, Red Hat, Target, Tencent, Union Investment, and Workday. For more information, visit http://apache.org/ and https://twitter.com/TheASF

© The Apache Software Foundation. "Apache", "Arrow", "Apache Arrow", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

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Wednesday January 23, 2019

The Apache Software Foundation Announces Apache® Hadoop® v3.2.0

Pioneering Open Source distributed enterprise framework powers US$166B Big Data ecosystem

Wakefield, MA —23 January 2019— The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, today announced Apache® Hadoop® v3.2.0, the latest version of the Open Source software framework for reliable, scalable, distributed computing.

Now in its 11th year, Apache Hadoop is the foundation of the US$166B Big Data ecosystem (source: IDC) by enabling data applications to run and be managed on large hardware clusters in a distributed computing environment. "Apache Hadoop has been at the center of this big data transformation, providing an ecosystem with tools for businesses to store and process data on a scale that was unheard of several years ago," according to Accenture Technology Labs.

"This latest release unlocks the powerful feature set the Apache Hadoop community has been working on for more than nine months," said Vinod Kumar Vavilapalli, Vice President of Apache Hadoop. "It further diversifies the platform by building on the cloud connector enhancements from Apache Hadoop 3.0.0 and opening it up for deep learning use-cases and long-running apps."

Apache Hadoop 3.2.0 highlights include:
  • ABFS Filesystem connector —supports the latest Azure Datalake Gen2 Storage;
  • Enhanced S3A connector —including better resilience to throttled AWS S3 and DynamoDB IO;
  • Node Attributes Support in YARN —helps to tag multiple labels on the nodes based on its attributes and supports placing the containers based on expression of these labels;
  • Storage Policy Satisfier  —supports HDFS (Hadoop Distributed File System) applications to move the blocks between storage types as they set the storage policies on files/directories; 
  • Hadoop Submarine —enables data engineers to easily develop, train and deploy deep learning models (in TensorFlow) on very same Hadoop YARN cluster;
  • C++ HDFS client —helps to do async IO to HDFS which helps downstream projects such as Apache ORC;
  • Upgrades for long running services —supports in-place seamless upgrades of long running containers via YARN Native Service API (application program interface) and CLI (command-line interface).

"This is one of the biggest releases in Apache Hadoop 3.x line which brings many new features and over 1,000 changes," said Sunil Govindan, Apache Hadoop 3.2.0 release manager. "We are pleased to announce that Apache Hadoop 3.2.0 is available to take your data management requirements to the next level. Thanks to all our contributors who helped to make this release happen."

Apache Hadoop is widely deployed at numerous enterprises and institutions worldwide, such as Adobe, Alibaba, Amazon Web Services, AOL, Apple, Capital One, Cloudera, Cornell University, eBay, ESA Calvalus satellite mission, Facebook, foursquare, Google, Hortonworks, HP, Huawei, Hulu, IBM, Intel, LinkedIn, Microsoft, Netflix, The New York Times, Rackspace, Rakuten, SAP, Tencent, Teradata, Tesla Motors, Twitter, Uber, and Yahoo. The project maintains a list of educational and production users, as well as companies that offer Hadoop-related services at https://wiki.apache.org/hadoop/PoweredBy

Global Knowledge hails, "...the open-source Apache Hadoop platform changes the economics and dynamics of large-scale data analytics due to its scalability, cost effectiveness, flexibility, and built-in fault tolerance. It makes possible the massive parallel computing that today's data analysis requires."

Hadoop is proven at scale: Netflix captures 500+B daily events using Apache Hadoop. Twitter uses Apache Hadoop to handle 5B+ sessions a day in real time. Twitter’s 10,000+ node cluster processes and analyzes more than a zettabyte of raw data through 200B+ tweets per year. Facebook’s cluster of 4,000+ machines that store 300+ petabytes is augmented by 4 new petabytes of data generated each day. Microsoft uses Apache Hadoop YARN to run the internal Cosmos data lake, which operates over hundreds of thousands of nodes and manages billions of containers per day.

Transparency Market Research recently reported that the global Hadoop market is anticipated to rise at a staggering 29% CAGR with a market valuation of US$37.7B by the end of 2023.

Apache Hadoop remains one of the most active projects at the ASF: it ranks #1 for Apache project repositories by code commits, and is the #5 repository by size (3,881,797 lines of code).

"The Apache Hadoop community continues to go from strength to strength in further driving innovation in Big Data," added Vavilapalli. "We hope that developers, operators and users leverage our latest release in fulfilling their data management needs."

Catch Apache Hadoop in action at the Strata conference, 25-28 March 2019 in San Francisco, and dozens of Hadoop MeetUps held around the world, including on 30 January 2019 at LinkedIn in Sunnyvale, California.

Availability and Oversight
Apache Hadoop software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache Hadoop, visit http://hadoop.apache.org/ and https://twitter.com/hadoop

About The Apache Software Foundation (ASF)
Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 730 individual Members and 7,000 Committers across six continents successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official global conference series. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Aetna, Alibaba Cloud Computing, Anonymous, ARM, Baidu, Bloomberg, Budget Direct, Capital One, Cerner, Cloudera, Comcast, Facebook, Google, Handshake, Hortonworks, Huawei, IBM, Indeed, Inspur, LeaseWeb, Microsoft, Oath, ODPi, Pineapple Fund, Pivotal, Private Internet Access, Red Hat, Target, Tencent, and Union Investment. For more information, visit http://apache.org/ and https://twitter.com/TheASF

© The Apache Software Foundation. "Apache", "Hadoop", "Apache Hadoop", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

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Tuesday January 08, 2019

The Apache Software Foundation Announces Apache® Airflow™ as a Top-Level Project

Open Source Big Data workflow management system in use at Adobe, Airbnb, Etsy, Google, ING, Lyft, PayPal, Reddit, Square, Twitter, and United Airlines, among others.

Wakefield, MA —8 January 2019— The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today Apache® Airflow™ as a Top-Level Project (TLP).

Apache Airflow is a flexible, scalable workflow automation and scheduling system for authoring and managing Big Data processing pipelines of hundreds of petabytes. Graduation from the Apache Incubator as a Top-Level Project signifies that the Apache Airflow community and products have been well-governed under the ASF's meritocratic process and principles.

"Since its inception, Apache Airflow has quickly become the de-facto standard for workflow orchestration," said Bolke de Bruin, Vice President of Apache Airflow. "Airflow has gained adoption among developers and data scientists alike thanks to its focus on configuration-as-code. That has gained us a community during incubation at the ASF that not only uses Apache Airflow but also contributes back. This reflects Airflow’s ease of use, scalability, and power of our diverse community; that it is embraced by enterprises and start-ups alike, allows us to now graduate to a Top-Level Project."

Apache Airflow is used to easily orchestrate complex computational workflows. Through smart scheduling, database and dependency management, error handling and logging, Airflow automates resource management, from single servers to large-scale clusters. Written in Python, the project is highly extensible and able to run tasks written in other languages, allowing integration with commonly used architectures and projects such as AWS S3, Docker, Apache Hadoop HDFS, Apache Hive, Kubernetes, MySQL, Postgres, Apache Zeppelin, and more. Airflow originated at Airbnb in 2014 and was submitted to the Apache Incubator March 2016.

Apache Airflow is in use at more than 200 organizations, including Adobe, Airbnb, Astronomer, Etsy, Google, ING, Lyft, NYC City Planning, Paypal, Polidea, Qubole, Quizlet, Reddit, Reply, Solita, Square, Twitter, and United Airlines, among others. A list of known users can be found at https://github.com/apache/incubator-airflow#who-uses-apache-airflow

"Adobe Experience Platform is built on cloud infrastructure leveraging open source technologies such as Apache Spark, Kafka, Hadoop, Storm, and more," said Hitesh Shah, Principal Architect of Adobe Experience Platform. "Apache Airflow is a great new addition to the ecosystem of orchestration engines for Big Data processing pipelines. We have been leveraging Airflow for various use cases in Adobe Experience Cloud and will soon be looking to share the results of our experiments of running Airflow on Kubernetes." 

"Our clients just love Apache Airflow. Airflow has been a part of all our Data pipelines created in past 2 years acting as the ring-master and taming our Machine Learning and ETL Pipelines," said Kaxil Naik, Data Engineer at Data Reply. "It has helped us create a Single View for our client's entire data ecosystem. Airflow's Data-aware scheduling and error-handling helped automate entire report generation process reliably without any human-intervention. It easily integrates with Google Cloud (and other major cloud providers) as well and allows non-technical personnel to use it without a steep learning curve because of Airflow’s configuration-as-a-code paradigm."

"With over 250 PB of data under management, PayPal relies on workflow schedulers such as Apache Airflow to manage its data movement needs reliably," said Sid Anand, Chief Data Engineer at PayPal. "Additionally, Airflow is used for a range of system orchestration needs across many of our distributed systems: needs include self-healing, autoscaling, and reliable [re-]provisioning."

"Since our offering of Apache Airflow as a service in Sept 2016, a lot of big and small enterprises have successfully shifted all of their workflow needs to Airflow," said Sumit Maheshwari, Engineering Manager at Qubole. "At Qubole, not only are we a provider, but also a big consumer of Airflow as well. For example, our whole Insight and Recommendations platform is built around Airflow only, where we process billions of events every month from hundreds of enterprises and generate insights for them on big data solutions like Apache Hadoop, Apache Spark, and Presto. We are very impressed by the simplicity of Airflow and ease at which it can be integrated with other solutions like clouds, monitoring systems or various data sources."

"At ING, we use Apache Airflow to orchestrate our core processes, transforming billions of records from across the globe each day," said Rob Keevil, Data Analytics Platform Lead at ING WB Advanced Analytics. "Its feature set, Open Source heritage and extensibility make it well suited to coordinate the wide variety of batch processes we operate, including ETL workflows, model training, integration scripting, data integrity testing, and alerting. We have played an active role in Airflow development from the onset, having submitted hundreds of pull requests to ensure that the community benefits from the Airflow improvements created at ING.  We are delighted to see Airflow graduate from the Apache Incubator, and look forward to see where this exciting project will be taken in future!"

"We saw immediately the value of Apache Airflow as an orchestrator when we started contributing and using it," said Jarek Potiuk, Principal Software Engineer at Polidea. "Being able to develop and maintain the whole workflow by engineers is usually a challenge when you have a huge configuration to maintain. Airflow allows your DevOps to have a lot of fun and still use the standard coding tools to evolve your infrastructure. This is 'infrastructure as a code' at its best."

"Workflow orchestration is essential to the (big) data era that we live in," added de Bruin. "The field is evolving quite fast and the new data thinking is just starting to make an impact. Apache Airflow is a child of the data era and therefore very well positioned, and is also young so a lot of development can still happen. Airflow can use bright minds from scientific computing, enterprises, and start-ups to further improve it. Join the community, it is easy to hop on!"

Availability and Oversight
Apache Airflow software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache Airflow, visit http://airflow.apache.org/ and https://twitter.com/ApacheAirflow

About The Apache Software Foundation (ASF)
Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 730 individual Members and 7,000 Committers across six continents successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Aetna, Alibaba Cloud Computing, Anonymous, ARM, Baidu, Bloomberg, Budget Direct, Capital One, Cerner, Cloudera, Comcast, Facebook, Google, Handshake, Hortonworks, Huawei, IBM, Indeed, Inspur, LeaseWeb, Microsoft, Oath, ODPi, Pineapple Fund, Pivotal, Private Internet Access, Red Hat, Target, Tencent, and Union Investment. For more information, visit http://apache.org/ and https://twitter.com/TheASF

© The Apache Software Foundation. "Apache", "Airflow", "Apache Airflow", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

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Wednesday December 12, 2018

The Apache Software Foundation Announces Apache® Griffin™ as a Top-Level Project

Open Source Big Data quality solution in use at eBay, Expedia, Huawei, JD.com, Meituan, PayPal, Pingan Bank, PPDAI, VIP.com, VMWare, and more.

Wakefield, MA —12 December 2018— The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today Apache® Griffin™ as a Top-Level Project (TLP).

Apache Griffin is a robust Open Source Big Data quality solution for distributed data systems at any scale. It provides a unified process to measure data quality from different perspectives, as well as building and validating trusted data assets in both streaming or batch contexts. Griffin originated at eBay and entered the Apache Incubator in December 2016.

"We are very proud of Griffin reaching this important milestone," said William Guo, Vice President of Apache Griffin. "By actively improving Big Data quality, Griffin helps build trusted data assets, therefore boosting your confidence in your business." 

Apache Griffin enables data scientists/analysts to handle data quality issues by:
  • Defining –specifying data quality requirements such as accuracy, completeness, timeliness, profiling, etc.;

  • Measuring –source data ingested into the Griffin computing cluster will apply data quality measurement based on user-defined requirements; and

  • Applying Metrics –data quality reports as metrics will be exported to designated destination.

In addition, Griffin allows users to easily onboard new requirements into the platform and write comprehensive logic to further define their data quality. 

Apache Griffin is in use in high volume, high demand environments at 163.com/Netease, eBay, Expedia, Huawei, JD.com, Meituan, PayPal, Pingan Bank, PPDAI, VIP.com, and VMWare, among others.

"eBay contributed Griffin to the Apache Incubator in December 2016 to ensure its future development in a community-driven manner. It started with the idea on how eBay could address the data quality issue across multiple systems, especially in streaming context," said Vivian Tian, VP of eBay, GM - China Center of Excellence. "Griffin brings data quality solution to data ecosystem and ensure data applications have a solid quality foundation. We are extremely happy to see Griffin graduate as an Apache Top Level Project, and look forward to continued innovation and collaboration with the Apache community."

"We have been using Apache Griffin for about two years, monitoring 1000+ tables with data quality metrics, and are very happy to see it graduate to a Top-Level Project," said Chao Zhu, Senior Director at VIPshop Finance. "Apache Griffin and its data quality DSL can help us easily identify data quality issues instantly on our big data platform. In addition, Apache Griffin's architecture is highly extensible. We are looking forward to using it in real time data quality management system. We also look forward to contribute some of our minor enhancement to Griffin back to the community."

"We appreciate the Griffin project which really helps so much in our daily data jobs.After years of struggling with the complexity of data quality issues, we turned to Apache Griffin for a new platform that would simplify our data quality pipeline," said Jianfeng Liu, Director of Real-time Data Department at PPDAI. "Because of Apache Griffin's unified model for both batch and stream processing, we've been able to replace legacy systems with one solution that works seamlessly in our production environment. Griffin DSLs have allowed us to dramatically simplify our pipeline and to reduce our efforts a lot. I'm very proud and excited to see that the project is graduating."

"Apache Griffin is one of the best data quality solutions which my team has been used so far. It has been an exciting journey seeing the Griffin community evolve rapidly. And many people iteratively adopting it and contributing to newer capabilities," said Austin Sun, Senior Engineering Manager, Enterprise Service Platform at PayPal. "In PayPal risk domain, we benefit a lot from Apache Griffin to provide high quality data to make precise decision and protect our customer. In addition to PayPal risk, I knew there are several other corporates also leverages core capability from Griffin as their data quality solution. It’s my great honor to witness Griffin grows to a top level project. Way to go, Griffin."

"Apache Griffin project is yet another showcase how community over code can work for projects coming out from internal usages of companies into the open source," said Henry Saputra, ASF member and Incubator Mentor for Apache Griffin. "I am proud to be the part of the projects and mentors for the project when it was being contributed from eBay, in addition to several other projects already donated to ASF such as Apache Kylin and Eagle. The team has worked tremendously hard to adapt the Apache Way, and also shown great respect for the open source community in all the processes for design, development, and release processes.As a Top-Level Project I believe the PMC will help lead the project to much more success in the future."

"Graduation is not the end, it is the beginning of another journey. We hope to take Apache Griffin to the next level with a wider set of features and users," added Guo. "We welcome anyone to join our efforts by helping with product design, documentation, code, technical discussions or promoting Apache Griffin in The Apache Way."

Availability and Oversight
Apache Griffin software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache Griffin, visit http://griffin.apache.org/ and https://twitter.com/apachegriffin

About The Apache Software Foundation (ASF)
Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 730 individual Members and 6,800 Committers across six continents successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Aetna, Alibaba Cloud Computing, Anonymous, ARM, Baidu, Bloomberg, Budget Direct, Capital One, Cerner, Cloudera, Comcast, Facebook, Google, Handshake, Hortonworks, Huawei, IBM, Indeed, Inspur, LeaseWeb, Microsoft, Oath, ODPi, Pineapple Fund, Pivotal, Private Internet Access, Red Hat, Target, Tencent, and Union Investment. For more information, visit http://apache.org/ and https://twitter.com/TheASF

© The Apache Software Foundation. "Apache", "Griffin", "Apache Griffin", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

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Thursday August 23, 2018

The Apache Software Foundation Announces Apache® HAWQ® as a Top-Level Project

Advanced Big Data query engine and analytic database in use at Alibaba, Haier, VMWare, ZTESoft, and hundreds more.

Wakefield, MA —23 August 2018— The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today Apache® HAWQ® as a Top-Level Project (TLP).

Apache HAWQ is an advanced enterprise SQL-on-Hadoop query engine and analytic database. It combines the key technological advantages of MPP database with the scalability and convenience of Apache Hadoop. HAWQ reads data from and writes data to HDFS natively, delivers industry-leading performance and linear scalability, and provides users with a complete, standards compliant SQL interface.

"We are very excited to see Apache HAWQ graduate as a Top-Level Project and we would like to thank our Incubation mentors for all their help," said Dr. Lei Chang, Vice President of Apache HAWQ. "This is a huge milestone that reflects the collective contributions from the growing global community to deliver a world-class SQL engine for analytics."

HAWQ operates natively in Apache Hadoop to provide users the tools to confidently and successfully interact with petabyte-range data sets. Features include:
  • Exceptional performance: parallel processing architecture delivers high performance throughput and low latency —potentially near real time— query responses that can scale to petabyte-sized datasets;
  • Robust ANSI SQL compliance: leverage familiar skills. Achieve higher levels of compatibility for SQL-based applications and BI/data visualization tools. Execute complex queries and joins, including roll-ups and nested queries; and 
  • Apache Hadoop ecosystem integration: integrate and manage with Apache YARN. Provision with Apache Ambari. Interface with Apache HCatalog. Supports Apache Parquet, Apache HBase, and others. Easily scales nodes up or down to meet performance or capacity requirements.

Apache HAWQ is in use at Alibaba, Haier, VMware, ZTESoft, and hundreds of users around the world.

"We admire Apache HAWQ's flexible framework and ability to scale up in a Cloud ecosystem. HAWQ helps those seeking a heterogeneous computing system to handle ad-hoc queries and heavy batch workloads," said Kuien Liu, Computing Platform Architect at Alibaba. "Alibaba encourages more and more engineers to continue to embrace Open Source, and Apache HAWQ stands out as a star project. We are proud to have been collaborating with this community since 2015."

"Haier Group has deployed clusters of more than 30 nodes in the production environment from the very beginning of HAWQ," said Xiaoliang Wu, Big Data Architect at Haier. "We use HAWQ as an ad-hoc query and batch computation engine in areas such as social network services and IOT. Because of its superior scalability and stability, HAWQ greatly improves development efficiency and reduces operation and maintenance costs. We believe that Apache HAWQ is a very competitive product in the SQL-On-Hadoop field."

"We have been using Apache HAWQ at VMware for 4 years now," said Dominie Jacob, Lead Big Data Engineer at VMware Inc. "It is easy to manage and scale using Apache Ambari, and easy to provision and attach more nodes based on demand. Being virtualized, it is easy to provision and attach more nodes based on demand. In our BI Big Data world, HAWQ is the primary database for accessing the Hadoop datasets, building models, and executing predictive model workflows. HAWQ is working seamlessly with billions of records, thousands of Tables/Functions/Tableau-Reports, and hundreds of users. The demand for HAWQ is increasing. As VMware always encourages us to pick up and contribute back to Open Source technologies, we would love to collaborate with this community and see more enhancements. In our BI space, HAWQ is one of the top priorities."

"Apache HAWQ is an attractive technology for Big Data applications," said Zixu Zhao, Architect at ZTESoft. "HAWQ serves as the foundation of our Big Data platform and it has been used in a lot of applications, such as interactive analytics and BI on telecom data. We congratulate HAWQ on becoming an Apache Top-Level Project."

"Becoming an Apache Top-Level Project is an important milestone," added Chang. "There is much work ahead of us, and we look forward to growing the HAWQ community and codebase."

Catch Apache HAWQ in action at ApacheCon North America 24-27 September 2018 http://apachecon.com/acna18/ .

Availability and Oversight

Apache HAWQ software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache HAWQ, visit http://hawq.apache.org/ and https://twitter.com/ApacheHAWQ .

About The Apache Software Foundation (ASF)
Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 730 individual Members and 6,800 Committers across six continents successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Aetna, Anonymous, ARM, Bloomberg, Budget Direct, Capital One, Cerner, Cloudera, Comcast, Facebook, Google, Hortonworks, Huawei, IBM, Indeed, Inspur, LeaseWeb, Microsoft, Oath, ODPi, Pineapple Fund, Pivotal, Private Internet Access, Red Hat, Target, and Union Investment. For more information, visit http://apache.org/ and https://twitter.com/TheASF


© The Apache Software Foundation. "Apache", "HAWQ", "Apache HAWQ", "Ambari", "Apache Ambari", "Hadoop", "Apache Hadoop", "HBase", "Apache HBase", "HCatalog", "Apache HCatalog", "Parquet", "Apache Parquet", "YARN", "Apache YARN", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

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Wednesday January 10, 2018

The Apache Software Foundation Announces Apache® Trafodion™ as a Top-Level Project

Mature Big Data database management system for working in SQL at Apache Hadoop-scale levels in use China Mobile, China Unicom, Dell EMC, Esgyn Corporation, and Millersoft Limited, among others.

Forest Hill, MD —10 January 2018— The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today that Apache® Trafodion™ has graduated from the Apache Incubator to become a Top-Level Project (TLP), signifying that the project's community and products have been well-governed under the ASF's meritocratic process and principles.

Apache Trafodion extends Apache Hadoop to guarantee transactional integrity and operational workloads for new kinds of Big Data applications that run on Hadoop.

 "We are very excited to have been established as an Apache Top-Level Project," said Pierre Smits, Vice President of Apache Trafodion. "Graduation is a terrific milestone that culminates 2.5 years of contributions from around the globe to establishing a growing community committed to delivering a high-grade OLTP solution on top of the Apache Hadoop ecosystem."

Building on the scalability, elasticity, and flexibility of Hadoop, Trafodion (meaning "transactions" in Welsh) is the first integrated Open Source solution that delivers on the promise of integrated transactional and analytical systems (OLTP/OLAP) for Apache Hadoop. Trafodion's features include:
  • Fully functional ANSI SQL support, leveraging existing SQL skills;
  • Distributed ACID data protection, guaranteeing data consistency across multiple tables and rows;
  • Compile-Time and Run-Time Optimizers, delivering performance improvements for OLTP workloads;
  • Parallel-aware Query Optimizer, supporting large data sets;
  • Apache Spark integration, supporting streaming analysis;
  • Interoperability with existing Apache Hadoop tools and solutions, such as Hive, Ambari, Flume, Kafka, and Oozie; and 
  • Apache Hadoop and Linux distribution neutrality.

Trafodion originated at HP-IT in 2013, and was donated to the Apache Incubator in May 2015. The project has had four official releases since entering the Apache Incubator. 

Apache Trafodion is in use at China Mobile, China Unicom, Dell EMC, Esgyn Corporation, and Millersoft Limited, among others.

"As a member of the HP Core Team responsible for releasing Trafodion to The Apache Software Foundation, and responsible for the project’s name, I'm thrilled to see the Trafodion community be recognized with this major achievement. Congratulations to all who made it possible," said Ken Holt, COO at Esgyn Corporation. "Trafodion is the heart of EsgynDB, and the community is like its lifeblood — we at Esgyn are committed to continue to grow and support the community."

"Congratulations to the Trafodion community for becoming an Apache Top-Level Project," said Tianduo Gao, Senior Development Engineer of Software Technology (Suzhou) at China Mobile. "We are planning to use Trafodion to expand the business of China Mobile's Big Data platform: our data statistics of 4G real-time business in the country and provinces are more efficient than ever before."

"Becoming a core Apache Project is a major step forward for Trafodion. It will give Millersoft the confidence to introduce the technology to our Big Data clients," said Calum Miller, Director of Millersoft Limited. "Testing of our Open Source Data Vault engine running on top of Apache Trafodion is going well and we look forward to announcing a fully integrated product shortly."

"Apache Trafodion enhanced the operational efficiency of our Big Data platforms, and brought us better customer experience and broader application scenarios," said Charles Yu, Managing Director, Application Services at Dell EMC.

"Congratulations to Trafodion for officially becoming part of the Apache open source ecosystem," said Qingquan Gu, Senior Development Engineer of Internet of Things Marketing Service Center at China Unicom. "Using Trafodion provided China Unicom with the ability to build and integrate Big Data platforms, enhanced our operational efficiency, and brought us better customer experience."

"Becoming an Apache Top-Level Project is only the beginning," added Smits. "We are looking forward to growing the Trafodion community, reaching new adopters and contributors, and fostering a strong ecosystem around the project."

Availability and Oversight
Apache Trafodion software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache Trafodion, visit http://trafodion.apache.org/ and https://twitter.com/Trafodion

About the Apache Incubator
The Apache Incubator is the entry path for projects and codebases wishing to become part of the efforts at The Apache Software Foundation. All code donations from external organizations and existing external projects wishing to join the ASF enter through the Incubator to: 1) ensure all donations are in accordance with the ASF legal standards; and 2) develop new communities that adhere to our guiding principles. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF. For more information, visit http://incubator.apache.org/

About The Apache Software Foundation (ASF)
Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 680 individual Members and 6,300 Committers across six continents successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Alibaba Cloud Computing, ARM, Bloomberg, Budget Direct, Capital One, Cash Store, Cerner, Cloudera, Comcast, Facebook, Google, Hewlett Packard, Hortonworks, Huawei, IBM, Inspur, iSIGMA, ODPi, LeaseWeb, Microsoft, PhoenixNAP, Pivotal, Private Internet Access, Red Hat, Serenata Flowers, Target, Union Investment, WANdisco, and Yahoo. For more information, visit http://apache.org/ and https://twitter.com/TheASF

© The Apache Software Foundation. "Apache", "Trafodion", "Apache Trafodion", "Hadoop", "Apache Hadoop", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

# # #

Thursday December 14, 2017

The Apache Software Foundation Announces Apache® Hadoop® v3.0.0 General Availability

Ubiquitous Open Source enterprise framework maintains decade-long leading role in $100B annual Big Data market

Forest Hill, MD —14 December 2017— The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, today announced Apache® Hadoop® v3.0.0, the latest version of the Open Source software framework for reliable, scalable, distributed computing.

Over the past decade, Apache Hadoop has become ubiquitous within the greater Big Data ecosystem by enabling firms to run and manage data applications on large hardware clusters in a distributed computing environment.

"This latest release unlocks several years of development from the Apache community," said Chris Douglas, Vice President of Apache Hadoop. "The platform continues to evolve with hardware trends and to accommodate new workloads beyond batch analytics, particularly real-time queries and long-running services. At the same time, our Open Source contributors have adapted Apache Hadoop to a wide range of deployment environments, including the Cloud."

"Hadoop 3 is a major milestone for the project, and our biggest release ever," said Andrew Wang, Apache Hadoop 3 release manager. "It represents the combined efforts of hundreds of contributors over the five years since Hadoop 2. I'm looking forward to how our users will benefit from new features in the release that improve the efficiency, scalability, and reliability of the platform."

Apache Hadoop 3.0.0 highlights include:
  • HDFS erasure coding —halves the storage cost of HDFS while also improving data durability;
  • YARN Timeline Service v.2 (preview) —improves the scalability, reliability, and usability of the Timeline Service;
  • YARN resource types —enables scheduling of additional resources, such as disks and GPUs, for better integration with machine learning and container workloads;
  • Federation of YARN and HDFS subclusters transparently scales Hadoop to tens of thousands of machines;
  • Opportunistic container execution improves resource utilization and increases task throughput for short-lived containers. In addition to its traditional, central scheduler, YARN also supports distributed scheduling of opportunistic containers; and 
  • Improved capabilities and performance improvements for cloud storage systems such as Amazon S3 (S3Guard), Microsoft Azure Data Lake, and Aliyun Object Storage System.

Hadoop 3.0.0 has already undergone extensive testing and integration with the broader Open Source ecosystem at The Apache Software Foundation. With this release, its community of developers and users promote this release series out of beta.

Apache Hadoop is widely deployed at numerous enterprises and institutions worldwide, such as Adobe, Alibaba, Amazon Web Services, AOL, Apple, Capital One, Cloudera, Cornell University, eBay, ESA Calvalus satellite mission, Facebook, foursquare, Google, Hortonworks, HP, Hulu, IBM, Intel, LinkedIn, Microsoft, Netflix, The New York Times, Rackspace, Rakuten, SAP, Tencent, Teradata, Tesla Motors, Twitter, Uber, and Yahoo. The project maintains a list of known users at https://wiki.apache.org/hadoop/PoweredBy

"It's tremendous to see this significant progress, from the raw tool of eleven years ago, to the mature software in today's release," said Doug Cutting, original co-creator of Apache Hadoop. "With this milestone, Hadoop better meets the requirements of its growing role in enterprise data systems.  The Open Source community continues to respond to industrial demands."

Apache Hadoop's diverse community enjoys continued growth amongst the ASF's most active projects, and remains at the forefront of more than three dozen Apache Big Data projects.

Apache Hadoop committer history

Apache Hadoop has received countless awards, including top prizes at the Media Guardian Innovation Awards and Duke's Choice Awards, and has been hailed by industry analysts:

"...the lifeblood of organizational analytics…" —Gartner

"Hadoop Is Here To Stay" —Forrester

"...today Hadoop is the only cost-sensible and scalable open source alternative to commercially available Big Data management packages. It also becomes an integral part of almost any commercially available Big Data solution and de-facto industry standard for business intelligence (BI)." —MarketAnalysis.com/Market Research Media

"...commanding half of big data’s $100 billion annual market value...Hadoop is the go-to big data framework." —BigDataWeek.com

"Hadoop, and its associated tools, is currently the 'big beast' of the big data world and the Hadoop environment is undergoing rapid development..." —Bloor Research


"The opportunity to effect meaningful, even fundamental change in the Apache Hadoop project remains open," added Douglas. "Our new contributors uprooted the project from its historical strength in Web-scale analytics by introducing powerful, proven abstractions for data management, security, containerization, and isolation. Apache Hadoop drives innovation in Big Data by growing its community. We hope this latest release continues to draw developers, operators, and users to the ASF."

Catch Apache Hadoop in action at the Strata Data Conference in San Jose, CA, 5-8 March 2018, and at dozens of Hadoop Meetups held around the world.

Availability and Oversight
Apache Hadoop software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache Hadoop, visit http://hadoop.apache.org/

About The Apache Software Foundation (ASF)
Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server —the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 680 individual Members and 6,300 Committers successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Alibaba Cloud Computing, ARM, Bloomberg, Budget Direct, Capital One, Cash Store, Cerner, Cloudera, Comcast, Facebook, Google, Hortonworks, Huawei, IBM, Inspur, iSIGMA, ODPi, LeaseWeb, Microsoft, PhoenixNAP, Pivotal, Private Internet Access, Red Hat, Serenata Flowers, Target, Union Investment, WANdisco, and Yahoo. For more information, visit http://www.apache.org/ and https://twitter.com/TheASF

© The Apache Software Foundation. "Apache", "Hadoop", "Apache Hadoop", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

# # #

Tuesday November 28, 2017

The Apache Software Foundation Announces Apache® Impala™ as a Top-Level Project

High performance analytic database for Apache Hadoop in-Cloud or on-premises in use at Caterpillar, Cox Automotive, Jobrapido, Marketing Associates, the New York Stock Exchange, phData, and Quest Diagnostics, among others.

Forest Hill, MD —28 November 2017— The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today that Apache® Impala™ has graduated from the Apache Incubator to become a Top-Level Project (TLP), signifying that the project's community and products have been well-governed under the ASF's meritocratic process and principles.
Apache Impala is a modern, high-performance analytic database for Apache Hadoop. The massively parallel processing (MPP) SQL query engine allows for analytical queries on data stored on-premises (in HDFS or Apache Kudu) or in Cloud object storage via SQL or business intelligence tools without having to migrate data sets into specialized systems or proprietary formats.

"The Impala project has grown a lot since we entered incubation in December 2015," said Jim Apple, Vice President of Apache Impala. "With the help of our mentors and the Incubator, we have grown as a community and adopted the Apache Way, all while the Impala contributors have helped make Impala more stable and performant."

In addition to using the same unified storage platform as other Hadoop components, Impala also uses the same metadata, SQL syntax (Apache Hive SQL), ODBC driver, and user interface (Impala query UI in Hue) as Hive. This provides a familiar and unified platform for real-time or batch-oriented queries. Impala provides:
  • A familiar SQL interface that data scientists and analysts already know;
  • The ability to query high volumes of data (Big Data) in Apache Hadoop;
  • Distributed queries in a cluster environment, for convenient scaling and to make use of cost-effective commodity hardware;
  • The ability to share data files between different components with no copy or export/import step; for example, to write with Apache Pig, transform with Hive and query with Impala. Impala can read from and write to Hive tables, enabling simple data interchange using Impala for analytics on Hive-produced data; and
  • A single system for big data processing and analytics, so customers can avoid costly modeling and ETL just for analytics.

Impala was inspired by Google's F1 database, which also separates query processing from storage management. It was originally released in 2012 and entered the Apache Incubator in December 2015. The project has had four releases during its incubation process.

"In 2011, we started development of Impala in order to make state-of-the-art SQL analytics available to the user community as open-source technology," said Marcel Kornacker, original founder of the Impala project. "The graduation to an Apache Top-Level Project is a recognition of the exceptional developer community that stands behind this project."

Apache Impala is deployed across a number of industries such as financial services, healthcare, and telecommunications, and is in use at companies that include Caterpillar, Cox Automotive, Jobrapido, Marketing Associates, the New York Stock Exchange, phData, and Quest Diagnostics. In addition, Impala is shipped by Cloudera, MapR, and Oracle.

"Apache Impala is our interactive SQL tool of choice. Over 30 phData customers have it deployed to production," said Brock Noland, Chief Architect at phData. "Combined with Apache Kudu for real-time storage, Impala has made architecting IoT and Data Warehousing use-cases dead simple. We can deploy more production use-cases with fewer people, delivering increased value to our customers. We're excited to see Impala graduate to a top-level project and look forward to contributing to its success."

"We use Apache Impala to boost performance of our SQL queries against our data lake," said Matteo Coloberti, Head of Analytics at Jobrapido. "Impala is an incredible service that gives us impressive performance on queries."

"We used to distribute Microsoft Excel reports to clients every one or two days but now they can search on their own by customer, sales deal, or even service type," said Andy Frey, CTO of Marketing Associates. "Apache Impala is used to query millions of rows to identify specific records that match the clients' criteria. We've even given clients a 'Query Hadoop' option that allows them to create simple SQL statements and query Hadoop directly via Impala. We're able to offer a faster, richer, and more accurate selection of services without the labor or latency concerns that we used to have."

"The Apache Impala community is growing, and we welcome new contributors to join in our efforts in our code, documentation, issue tracker, and discussion forums," added Apple.

Catch Apache Impala in action at Not Another Big Data Conference, taking place 12 December 2017 in Palo Alto, CA.

Availability and Oversight
Apache Impala software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache Impala, visit http://impala.apache.org/ and https://twitter.com/ApacheImpala

About the Apache Incubator
The Apache Incubator is the entry path for projects and codebases wishing to become part of the efforts at The Apache Software Foundation. All code donations from external organizations and existing external projects wishing to join the ASF enter through the Incubator to: 1) ensure all donations are in accordance with the ASF legal standards; and 2) develop new communities that adhere to our guiding principles. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF. For more information, visit http://incubator.apache.org/

About The Apache Software Foundation (ASF)
Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 680 individual Members and 6,300 Committers across six continents successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Alibaba Cloud Computing, ARM, Bloomberg, Budget Direct, Capital One, Cash Store, Cerner, Cloudera, Comcast, Facebook, Google, Hewlett Packard, Hortonworks, Huawei, IBM, Inspur, iSIGMA, ODPi, LeaseWeb, Microsoft, PhoenixNAP, Pivotal, Private Internet Access, Red Hat, Serenata Flowers, Target, WANdisco, and Yahoo. For more information, visit http://apache.org/ and https://twitter.com/TheASF

© The Apache Software Foundation. "Apache", "Impala", "Apache Impala", "Hadoop", "Apache Hadoop", "Hive", "Apache Hive", "Kudu", "Apache Kudu", "Pig", "Apache Pig", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

# # #

Monday September 25, 2017

The Apache Software Foundation Announces Apache® RocketMQ™ as a Top-Level Project

Open Source distributed messaging and streaming Big Data platform in use at Alibaba Group, Didi Chuxing, S.F. Express, WeBank, Peking University, and Chinese Academy of Sciences, among others.

Forest Hill, MD –25 September 2017– The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today that Apache® RocketMQ™ has graduated from the Apache Incubator to become a Top-Level Project (TLP), signifying that the project's community and products have been well-governed under the ASF's meritocratic process and principles.

Apache RocketMQ is an Open Source distributed messaging and streaming Big Data platform with low latency, high performance and reliability, trillion-level capacity and flexible scalability.

"I am very excited to see Apache RocketMQ as a Top-Level Project and I would like to thank our mentors for all their help, the Apache Incubator Project Management Committee for its advice and guidance, everyone in the RocketMQ community, and Alibaba for publishing the research upon which RocketMQ is based," said Xiaorui Wang, Vice President of Apache RocketMQ. "During the incubation process, the RocketMQ community worked very hard to develop high-quality distributed software for messaging and streaming, in an open and inclusive manner in accordance with the Apache Way."

RocketMQ originated at Alibaba in 2012, and, after handling 1.2 trillion concurrent online message transmissions in the Alibaba Nov. 11th Global Shopping Festival, was donated to the Apache Incubator in November 2016. Apache RocketMQ v4.0.0 was released in February 2017.

As a distributed messaging engine, RocketMQ features include:
  • Low latency; more than 99.6% response latency within 1 millisecond under high pressure;
  • Finance-oriented, high availability with tracking and auditing features;
  • Industry-sustainable, trillion-level message capacity guaranteed;
  • Vendor-neutral, support multiple messaging protocols like JMS and OpenMessaging;
  • Big Data friendly, batch transferring with versatile integration for flooding throughput; and
  • Massive accumulation, given sufficient disk space, accumulate messages without performance loss.

"RocketMQ was conceived from the outset as an open-source distributed messaging and streaming platform with low latency, high performance and reliability, trillion-level capacity and flexible scalability," said Von Gosling, original co-creator of RocketMQ and Chief Architect of Aliware MQ at Alibaba Group. "It has been great to witness the growth of the RocketMQ community and codebase as an ASF incubating project, and I look forward to this continuing as a Top-Level Project. Today, more than 100 companies are using Apache RocketMQ, with more feedback coming from the community. According to our data, more than 80% of the project's contributions are from outside the donator Alibaba Group."

In addition to Alibaba Group, Apache RocketMQ is in use at hundreds of companies and research/educational institutions that include Didi Chuxing, S.F. Express, WeBank, Peking University, and Chinese Academy of Sciences, among others.

"Graduation from the Incubator marks an important milestone for the RocketMQ project," said Bruce Snyder, Apache RocketMQ Incubator Mentor and Director of Software Development at SAP Hybris. "This is recognition of the focus and hard work of the project members to learn The Apache Way and drive community around RocketMQ. I am honored to have helped guide the project to a successful graduation."

"At Didi, we have used Apache RocketMQ as storage engine to build MessageQueue service. Based on high availability and high performance of RocketMQ we provide high-quality service," said Neil Qi, Architect at Didi Chuxing. "I believe RocketMQ will become the best MessageQueue project in future."

"New participants are more than welcome to join the project, To serve the community better, we created and maintained two repositories, one as our kernel version and the other one is for community contributions. The community contributed some integrated projects with some other Apache TLPs like Apache Storm, Apache Ignite, Apache Spark and Apache Flume," said Xinyu "yukon" Zhou, member of the Apache RocketMQ Project Management Committee. "We enthusiastically look forward to working together with all contributors to Apache RocketMQ in order to advance the state-of-the-art distributed messaging engine."

Availability and Oversight
Apache RocketMQ software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache RocketMQ, visit http://rocketmq.apache.org/ and https://twitter.com/ApacheRocketMQ

About the Apache Incubator
The Apache Incubator is the entry path for projects and codebases wishing to become part of the efforts at The Apache Software Foundation. All code donations from external organizations and existing external projects wishing to join the ASF enter through the Incubator to: 1) ensure all donations are in accordance with the ASF legal standards; and 2) develop new communities that adhere to our guiding principles. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF. For more information, visit http://incubator.apache.org/

About The Apache Software Foundation (ASF)
Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 650 individual Members and 6,200 Committers across six continents successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Alibaba Cloud Computing, ARM, Bloomberg, Budget Direct, Capital One, Cash Store, Cerner, Cloudera, Comcast, Facebook, Google, Hortonworks, HP, Huawei, IBM, Inspur, iSigma, LeaseWeb, Microsoft, ODPi, PhoenixNAP, Pivotal, Private Internet Access, Red Hat, Serenata Flowers, Target, WANdisco, and Yahoo. For more information, visit http://apache.org/ and https://twitter.com/TheASF

© The Apache Software Foundation. "Apache", "RocketMQ", "Apache RocketMQ", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

# # #

Tuesday August 22, 2017

The Apache Software Foundation Announces Apache® MADlib™ as a Top-Level Project

Big Data machine-learning library used for scalable in-database analytics

Forest Hill, MD –22 August 2017– The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today that Apache® MADlib™ has graduated from the Apache Incubator to become a Top-Level Project (TLP), signifying that the project's community and products have been well-governed under the ASF's meritocratic process and principles.

Apache MADlib is a comprehensive library for scalable in-database analytics. It provides parallel implementations of machine learning, graph, mathematical and statistical methods for structured and unstructured data.

"Graduating as a Top-Level Project is a very important milestone for Apache MADlib," said Aaron Feng, Vice President of Apache MADlib. "During the incubation process, the MADlib community worked very hard to develop high quality software for in-database analytics, in an open and inclusive manner in accordance with the Apache Way."

MADlib grew out of discussions between database engine developers, data scientists, IT architects and academics interested in new approaches to scalable, sophisticated in-database analytics. These discussions were written up in a paper from VLDB 2009 [1] that coined the term "MAD Skills" for data analysis. The MADlib software project began the following year as a collaboration between researchers at UC Berkeley and engineers and computer scientists at Pivotal (formerly EMC/Greenplum). In September 2015, MADlib joined the ASF community as an incubating project.

MADlib is deployed on a wide variety of industry and academic projects across many different verticals, including automotive, consumer, finance, government, healthcare, and telecommunications.

"MADlib was conceived from the outset as an open-source meeting ground for software developers, computing researchers and data scientists to collaborate on scalable, in-database machine learning and statistics," said Joe Hellerstein, Professor of Computer Science at UC Berkeley, Co-Founder and Chief Strategy Officer at Trifacta, and one of the original authors of MADlib. "It has been great to witness the growth of the MADlib community and codebase as an ASF incubating project, and I look forward to this continuing as a Top-Level Project."

"At Pivotal, we have seen our customers successfully deploy MADlib on large scale data science projects across a wide variety of industry verticals," said Elisabeth Hendrickson, Vice President, R&D for Data at Pivotal. "As MADlib graduates to a Top-Level Project at the ASF, we anticipate increased adoption in the enterprise given the mature level of the codebase and the active developer community."

"The potential of the Apache MADlib project is unbounded," said Jim Jagielski, Vice Chairman of the ASF. "The ability to perform in-depth and detailed analytics, on both structured and unstructured data, using SQL enables MADlib to be applicable in scenarios where others simply can't compete. As not only interest in, but real-world usage of, machine learning becomes common place, MADlib joins the growing roster of Apache projects that define innovation."

"Apache MADlib is a great example of the diversity at Apache," said Ted Dunning, Apache MADlib Incubator Mentor and Member of the ASF Board of Directors. "MADlib does state-of-the-art machine learning, but does as an inherent part of a database. This is a radical approach that can provide important design flexibility. I am excited to see MADlib become a fully fledged project at Apache."

"New participants are more than welcome to join the project," added Feng. "We enthusiastically look forward to working together with all contributors to Apache MADlib in order to advance the state-of-the-art of scale-out data science tools."

[1] http://dl.acm.org/citation.cfm?id=1687576

Availability and Oversight
Apache MADlib software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache MADlib, visit http://madlib.apache.org/ and https://twitter.com/ApacheMADlib

About the Apache Incubator
The Apache Incubator is the entry path for projects and codebases wishing to become part of the efforts at The Apache Software Foundation. All code donations from external organizations and existing external projects wishing to join the ASF enter through the Incubator to: 1) ensure all donations are in accordance with the ASF legal standards; and 2) develop new communities that adhere to our guiding principles. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF. For more information, visit http://incubator.apache.org/

About The Apache Software Foundation (ASF)
Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 650 individual Members and 6,200 Committers across six continents successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Alibaba Cloud Computing, ARM, Bloomberg, Budget Direct, Capital One, Cash Store, Cerner, Cloudera, Comcast, Facebook, Google, Hortonworks, HP, Huawei, IBM, Inspur, iSigma, LeaseWeb, Microsoft, ODPi, PhoenixNAP, Pivotal, Private Internet Access, Red Hat, Serenata Flowers, Target, WANdisco, and Yahoo. For more information, visit http://apache.org/ and https://twitter.com/TheASF

© The Apache Software Foundation. "Apache", "MADlib", "Apache MADlib", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

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Wednesday July 26, 2017

The Apache Software Foundation Announces Apache® Fluo™ as a Top-Level Project

Newest addition to Apache Big Data ecosystem used for continual, incremental processing of data at petabyte scale

Forest Hill, MD –26 July 2017– The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today that Apache® Fluo™ has graduated from the Apache Incubator to become a Top-Level Project (TLP), signifying that the project's community and products have been well-governed under the ASF's meritocratic process and principles.

Apache Fluo is a distributed system for incrementally processing large data sets stored in Apache Accumulo (the sorted, distributed key/value store based on Google's Bigtable, built on top of Apache Hadoop, Apache Zookeeper, and Apache Thrift). With Fluo, users can continuously join new data into large existing data sets without reprocessing all data. Unlike batch and streaming frameworks, Fluo offers much lower latency and can operate on extremely large data sets.

"I am very excited to see Apache Fluo graduate and I would like to thank our mentors for all their help, the Apache Incubator Project Management Committee for its advice and guidance, everyone in the Fluo community, and Google for publishing the research upon which Fluo is based," said Keith Turner, Vice President of Apache Fluo. "As a result of collaboration within the community, we are graduating with a beautifully designed piece of software."

Based on Percolator (built on top of Bigtable to support incremental updates to the search index at Google), Fluo makes it possible to continually-update the results of a large-scale computation, index, or analytic as new data is discovered.

"Apache Fluo is a very clever piece of software, elegantly supplementing Apache Accumulo's ability to store and maintain very large indexes," said Christopher Tubbs, ASF Member and Committer on Apache Accumulo and Apache Fluo. "Its support of transactions enables Accumulo to solve a whole new set of big data problems, and its observer framework makes designing ingest workflows fun."

An example of how Fluo works is a use case of counting phrases in unique documents. This could be accomplished by two MapReduce jobs: one job to get a unique set of documents and a following job to count phrases. Where petabytes of documents are concerned, running both jobs for a small amount of new data is inefficient. Apache Fluo enables continuous, quick computations of these two joins as new data arrives, constantly emitting deltas of phrase counts. Anything could consume the emitted deltas. For example, a query system could be continuously updated using them.

"We are excited that Fluo is becoming a Top-Level Project at the Apache Software Foundation," said Dr. Adina Crainiceanu, Apache Rya (incubating) Committer and Associate Professor, Computer Science Department, United States Naval Academy. "Heartfelt congratulations to the Fluo community for achieving this important milestone. The Apache Rya project uses the observer framework in Fluo to cache and maintain answers to complex SPARQL queries for large RDF datasets. Using cached answers greatly improves Rya's performance for complex queries. Fluo complements Rya by allowing the incremental and continuous update of the cached answers. Fluo is particularly useful because it allows updates to happen as new data is ingested, reduces updates latency, avoids stale results, and circumvents the periodical reprocessing of the entire dataset. We are confident that Apache Fluo will become one of the important frameworks for updating indexing results in a dynamic data-acquiring context."

"Fluo fulfills an important role in the Apache Hadoop ecosystem, significantly expanding existing capabilities for working with large data sets," said Billie Rinaldi, ASF Member and former Vice President of Apache Accumulo. "I was excited to see this project come to the Apache Incubator, and am even more pleased to see it graduate to a top-level Apache project."

"We welcome new users and contributors to Apache Fluo," added Turner. "If you are interested in trying Fluo, check out the Fluo Tour on the project Website. Join our mailing lists to discuss how Fluo may be a good solution for your problem, as well as for help with debugging and finding starter issues."

Catch Apache Fluo in action and meet members of the Fluo community at Accumulo Summit, 16 October 2017 in Columbia, MD. http://accumulosummit.com/

Availability and Oversight
Apache Fluo software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache Fluo, visit http://fluo.apache.org/ and https://twitter.com/ApacheFluo

About the Apache Incubator
The Apache Incubator is the entry path for projects and codebases wishing to become part of the efforts at The Apache Software Foundation. All code donations from external organizations and existing external projects wishing to join the ASF enter through the Incubator to: 1) ensure all donations are in accordance with the ASF legal standards; and 2) develop new communities that adhere to our guiding principles. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF. For more information, visit http://incubator.apache.org/

About The Apache Software Foundation (ASF)
Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 620 individual Members and 6,000 Committers successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Alibaba Cloud Computing, ARM, Bloomberg, Budget Direct, Capital One, Cash Store, Cerner, Cloudera, Comcast, Confluent, Facebook, Google, Hortonworks, HP, Huawei, IBM, InMotion Hosting, iSigma, LeaseWeb, Microsoft, ODPi, PhoenixNAP, Pivotal, Private Internet Access, Produban, Red Hat, Serenata Flowers, Target, WANdisco, and Yahoo. For more information, visit https://www.apache.org/ and https://twitter.com/TheASF

© The Apache Software Foundation. "Apache", "Fluo", "Apache Fluo", "Accumulo", "Apache Accumulo", "Rya", "Apache Rya", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

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Monday June 05, 2017

The Apache Software Foundation Announces Momentum With Apache® Hadoop® v2.8

Major release of the cornerstone of the Big Data ecosystem, from which dozens of Apache Big Data projects and countless industry solutions originate.

Forest Hill, MD —5 June 2017— The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today momentum with Apache® Hadoop® v2.8, the latest version of the Open Source software framework for reliable, scalable, distributed computing.

Now ten years old, Apache Hadoop dominates the greater Big Data ecosystem as the flagship project and community amongst the ASF's more than three dozen projects in the category.

"Apache Hadoop 2.8 maintains the project's momentum in its stable release series," said Chris Douglas, Vice President of Apache Hadoop. "Our community of users, operators, testers, and developers continue to evolve the thriving Big Data ecosystem at the ASF. We're committed to sustaining the scalable, reliable, and secure platform our greater Hadoop community has built over the last decade."

Apache Hadoop supports processing and storage of extremely large data sets in a distributed computing environment. The project has been regularly lauded by industry analysts worldwide for driving market transformation. Forrester Research estimates that firms will spend US$800M in Hadoop software and related services in 2017. According to Zion Market Research, the global Hadoop market is expected to reach approximately US$87.14B by 2022, growing at a CAGR of around 50% between 2017 and 2022.

Apache Hadoop 2.8 is the result of 2 years of extensive collaborative development from the global Apache Hadoop community. With 2,914 commits as new features, improvements and bug fixes since v2.7, highlights include:
  • Several important security related enhancements, including Hadoop UI protection of Cross-Frame Scripting (XFS) which is an attack that combines malicious JavaScript with an iframe that loads a legitimate page in an effort to steal data from an unsuspecting user, and Hadoop REST API protection of Cross site request forgery (CSRF) attack which attempt to force an authenticated user to execute functionality without their knowledge.

  • Support for Microsoft Azure Data Lake as a source and destination of data. This benefits anyone deploying Hadoop in Microsoft's Azure Cloud. The Azure Data Lake service was actually developed for Hadoop and analytics workloads.

  • The "S3A" client for working with data stored in Amazon S3 has been radically enhanced for scalability, performance, and security. The performance enhancements were driven by Apache Hive and Apache Spark benchmarks. In Hive TCP-DS benchmarks, Apache Hadoop is currently faster working with columnar data stored in S3  than Amazon EMR's closed-source connector. This shows the benefit of collaborative Open Source development.

  • Several WebHDFS related enhancements include integrated CSRF prevention filter in WebHDFS, support OAuth2 in WebHDFS, disallow/allow snapshots via WebHDFS, and more.

  • Integration with other applications has been improved with a separate jar for the hdfs-client than the hadoop-hdfs JAR with all the server side code. Downstream projects that access HDFS can depend on the hadoop-hdfs-client module to reduce the amount of transitive classpath dependencies.

  • YARN NodeManager Resource Reconfiguration through RM Admin CLI for a live cluster that allows YARN clusters to have a more flexible resource model especially for a Cloud deployment.

In addition to physical Hadoop clusters, where the majority of storage and computation lies, Apache Hadoop is very popular within Cloud infrastructures. Contributions from Apache Hadoop's diverse community includes improvements provided by Cloud infrastructure vendors and large Hadoop-in-Cloud users. These improvements include: Azure and S3 storage and YARN reconfiguration in particular, improve Hadoop's deployment on and integration with Cloud Infrastructures. The improvements in Hadoop 2.8 enable Cloud-deployed clusters to be more dynamic in sizing, adapting to demand by scaling up and down.

"My colleagues and I are happy that tests of Apache Hive and Hadoop 2.8 show that we are able to provide a similar experience reading data in from S3 as Amazon EMR, with its closed-source fork/rewrite of S3," said Steve Loughran, member of the Apache Hadoop Project Management Committee.

Hailed as a "Swiss army knife of the 21st century" by the Media Guardian Innovation Awards  and "the most important software you’ve never heard of…helped enable both Big Data and Cloud computing" by author Thomas Friedman, Apache Hadoop is used by an array of companies such as Alibaba, Amazon Web Services, AOL, Apple, eBay, Facebook, foursquare, IBM, HP, LinkedIn, Microsoft, Netflix, The New York Times, Rackspace, SAP,  Tencent, Teradata, Tesla Motors, Uber, and Twitter. Yahoo, an early pioneer, hosts the world's largest known Hadoop production environment to date, spanning more than 38,000 nodes.

Catch Apache Hadoop in action at DataWorks Summit 13-15 June 2017 in San Jose, CA.

Availability and Oversight
Apache Hadoop software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache Hadoop, visit http://hadoop.apache.org/ and https://twitter.com/hadoop

About The Apache Software Foundation (ASF)
Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 680 individual Members and 6,000 Committers successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Alibaba Cloud Computing, ARM, Bloomberg, Budget Direct, Capital One, Cash Store, Cerner, Cloudera, Comcast, Confluent, Facebook, Google, Hortonworks, HP, Huawei, IBM, InMotion Hosting, iSigma, LeaseWeb, Microsoft, ODPi, PhoenixNAP, Pivotal, Private Internet Access, Produban, Red Hat, Serenata Flowers, Target, WANdisco, and Yahoo. For more information, visit http://www.apache.org/ and https://twitter.com/TheASF

© The Apache Software Foundation. "Apache", "Hadoop", "Apache Hadoop", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

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Wednesday May 31, 2017

The Apache Software Foundation Announces Apache® SystemML™ as a Top-Level Project

Open Source Big Data machine learning platform in use at Cadent Technology and IBM Watson Health, among other organizations.

Forest Hill, MD –31 May 2017– The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today that Apache® SystemML™ has graduated from the Apache Incubator to become a Top-Level Project (TLP), signifying that the project's community and products have been well-governed under the ASF's meritocratic process and principles.

Apache SystemML is a machine learning platform optimal for Big Data that provides declarative, large-scale machine learning and deep learning. SystemML can be run on top of Apache Spark, where it automatically scales data, line by line, to determine whether code should be run on the driver or an Apache Spark cluster.

"Today, the machine learning revolution is leading to thousands of life-altering innovations such as self-driving cars and computers that detect cancer," said Deron Eriksson, Vice President of Apache SystemML. "Apache SystemML enables and simplifies this process by executing optimized high-level algorithms on Big Data using proven technologies such as Apache Spark and Apache Hadoop MapReduce."

The core of Apache SystemML has been created from the ground up with the following design principles in mind: 

  • Performance and Scalability, as SystemML scales up on single nodes, and scales out on large clusters using Apache Spark or Apache Hadoop;
  • "Designed for data scientists", enabling data scientists to develop algorithms in a system with a strong foundation in linear algebra and statistical functions; and 
  • Cost-based optimization for scalable execution plans, that significantly shortens and simplifies the development and deployment cycle of algorithms for varying data characteristics and system configurations.

Using Apache SystemML, data scientists are able to implement algorithms using high-level language concepts without knowledge of distributed programming. Depending on data characteristics such as data size/shape and data sparsity (dense/sparse), and cluster characteristics such as cluster size and memory configurations, SystemML's cost-based optimizing compiler automatically generates hybrid runtime execution plans that are composed of single-node and distributed operations on Apache Spark or Apache Hadoop clusters for best performance.

"SystemML allows Cadent to implement advanced numerical programming methods in Apache Spark, empowering us to leverage specialized algorithms in our predictive analysis software," said Michael Zargham, Chief Scientist at Cadent Technology.

"SystemML is like SQL for Machine Learning, it enables Data Scientists to concentrate on the problem at hand, working in a high-level script language like R, and all the optimizations and rewrites are handled by the very powerful SystemML optimizer that considers data and available resources to produce the best execution plan for the application," said Luciano Resende, Architect at the IBM Spark Technology Center and Apache SystemML Incubator Mentor.

"IBM Watson Health VBC is using Apache SystemML on Apache Spark to build risk models on a very large EHR data set to predict emergency department visits," said Steve Beier, Vice President of Value Based Care Platform and Analytics at IBM Watson Health. "The models identify high-risk patients so that they can be targeted with preemptive strategies, thus potentially reducing care costs while at the same time leading to optimal outcomes for patients."

SystemML originated at IBM Research - Almaden in 2010, and was submitted to the Apache Incubator in November 2015. SystemML initiated compressed linear algebra research, a differentiating feature in SystemML, which received the VLDB 2016 Best Paper.

"The Apache Incubator is all about open collaboration and communication and was invaluable for everyone involved in SystemML," added Eriksson. "The Apache SystemML community sincerely encourages everyone interested in machine learning and deep learning to help build our community around this revolutionary technology."

Catch Apache SystemML in action at the Big Data Developers Silicon Valley MeetUp on 8 June 2017 in San Francisco, CA.

Availability and Oversight
Apache SystemML software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache SystemML, visit http://systemml.apache.org/ and https://twitter.com/ApacheSystemML

About the Apache Incubator
The Apache Incubator is the entry path for projects and codebases wishing to become part of the efforts at The Apache Software Foundation. All code donations from external organizations and existing external projects wishing to join the ASF enter through the Incubator to: 1) ensure all donations are in accordance with the ASF legal standards; and 2) develop new communities that adhere to our guiding principles. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF. For more information, visit http://incubator.apache.org/

About The Apache Software Foundation (ASF)
Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 620 individual Members and 6,000 Committers successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Alibaba Cloud Computing, ARM, Bloomberg, Budget Direct, Capital One, Cash Store, Cerner, Cloudera, Comcast, Confluent, Facebook, Google, Hortonworks, HP, Huawei, IBM, InMotion Hosting, iSigma, LeaseWeb, Microsoft, ODPi, PhoenixNAP, Pivotal, Private Internet Access, Produban, Red Hat, Serenata Flowers, Target, WANdisco, and Yahoo. For more information, visit https://www.apache.org/ and https://twitter.com/TheASF

© The Apache Software Foundation. "Apache", "SystemML", "Apache SystemML", "Hadoop", "Apache Hadoop", "Spark", "Apache Spark", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

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Wednesday May 17, 2017

The Apache Software Foundation Announces Apache® Beam™ v2.0.0

Open Source unified programming model for batch and streaming Big Data processing in use at Google Cloud, PayPal, and Talend, among others.

Forest Hill, MD —17 May 2017— The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today the availability of Apache® Beam™ v2.0.0, the first stable release of the unified programming model for both batch and streaming Big Data processing.

An Apache Top-Level Project (TLP) since December 2016, Beam includes Java and Python software development kits used to define data processing pipelines and runners to execute them on Apache Apex, Apache Flink, Apache Spark, and Google Cloud Dataflow, among other execution engines.

Apache Beam has its roots in Google's internal work on data processing over the last decade, evolving from the initial MapReduce system, through FlumeJava and MillWheel, into Google Cloud Dataflow v1.x, which defined the unified programming model that became the heart of Apache Beam.

"The first stable release is an important milestone for the Apache Beam community," said Davor Bonaci, Vice President of Apache Beam. "This is a statement from the community that it intends to maintain API stability with all releases for the foreseeable future, making Beam suitable for enterprise deployment."

Apache Beam v2.0.0 improves user experience across the project, focusing on seamless portability across execution environments, including engines, operating systems, on-premise clusters, cloud providers, and data storage systems. Other highlights include:
  • API stability and future compatibility within this major version;
  • Stateful data processing paradigms that unlock efficient, data-dependent computations;
  • Support for user-extensible file systems, with built-in support for Hadoop Distributed File System, among others; and
  • A metrics subsystem for deeper insight into pipeline execution.

Apache Beam is in use at Google Cloud, PayPal, and Talend, among others.

"Apache Beam is a mature data processing API for the enterprise, with powerful semantics that solve real-world challenges of stream processing," said Tomer Pilossof, Big Data Manager at PayPal. "With Beam, we provide data processing solutions for a wide range of customers within the PayPal organization."

"We at Talend are thrilled to have contributed to Apache Beam reaching the 2.0.0 milestone and its first official stable release," said Laurent Bride, Chief Technology Officer at Talend. "Apache Beam is now part of the foundation of Talend products. Recently, we released Talend Data Preparation for Big Data which leverages Beam to create transformation pipelines that are portable across many execution engines. Later this year, we plan to deliver Talend Data Streams, taking the Apache Beam integration one step further by utilizing its powerful streaming semantics. Whether for batch, streaming, or real-time use cases, Apache Beam is a powerful framework that delivers the flexibility and advanced functionality our customers need."

"We congratulate the Apache Beam community for reaching the key milestone of a first stable release," said William Vambenepe, Lead Product Manager for Big Data, Google Cloud. "We look forward to our Google Cloud Dataflow customers taking full advantage of Beam's powerful programming model and newest features to run their data processing pipelines on Google Cloud."

Apache Beam v2.0.0 is making its debut at Apache: Big Data, taking place this week in Miami, FL, with four sessions featuring Apache Beam. Apache Beam will also be highlighted at numerous face-to-face meetups and conferences, including the Future of Data San Jose meetup, Strata Data Conference London, Berlin Buzzwords, and DataWorks Summit San Jose.

"I'd like to invite everyone to try out Apache Beam v2.0.0 today and consider joining our vibrant community," added Bonaci. "We welcome feedback, contribution and participation through our mailing lists, issue tracker, pull requests, and events."

Availability and Oversight
Apache Beam software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache Beam, visit https://beam.apache.org/ and https://twitter.com/ApacheBeam

About The Apache Software Foundation (ASF)
Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server -- the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 680 individual Members and 6,000 Committers successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Alibaba Cloud Computing, ARM, Bloomberg, Budget Direct, Capital One, Cash Store, Cerner, Cloudera, Comcast, Confluent, Facebook, Google, Hortonworks, HP, Huawei, IBM, InMotion Hosting, iSigma, LeaseWeb, Microsoft, ODPi, PhoenixNAP, Pivotal, Private Internet Access, Produban, Red Hat, Serenata Flowers, Target, WANdisco, and Yahoo. For more information, visit http://www.apache.org/ and https://twitter.com/TheASF

© The Apache Software Foundation. "Apache", "Beam", "Apache Beam", "Apex", "Apache Apex", "Flink", "Apache Flink", "Spark", "Apache Spark", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

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Monday May 15, 2017

The Apache Software Foundation Announces Apache® Samza™ v0.13

Open Source Big Data distributed stream processing framework in production at Intuit, LinkedIn, Netflix, Optimizely, Redfin, and Uber, among other organizations.

Forest Hill, MD —15 May 2017— The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 Open Source projects and initiatives, announced today the availability of Apache® Samza™  v0.13, the latest version of the Open Source Big Data distributed stream processing framework.

An Apache Top-Level Project (TLP) since January 2015, Samza is designed to provide support for fault-tolerant, large scale stream processing. Developers use Apache Samza to write applications that consume streams of data and to help organizations understand and respond to their data in real-time. Apache Samza offers a unified API to process streaming data from pub-sub messaging systems like Apache Kafka and batch data from Apache Hadoop.

"The latest 0.13 release takes Apache Samza's data processing capabilities to the next level with multiple new features," said Yi Pan, Vice President of Apache Samza. "It also improves the simplicity and portability of real-time applications."

Apache Samza powers several real-time data processing needs including realtime analytics on user data, message routing, combating fraud, anomaly detection, performance monitoring, real-time communication, and more. Apache Samza can process up to 1.1 million messages per second on a single machine. v0.13 highlights include:
  • A higher level API that developers can use this to express complex processing pipelines on streams more concisely;
  • Support for running Samza applications as a lightweight embedded library without relying on YARN;
  • Support for flexible deployment options; 
  • Support for rolling upgrade of running Samza applications;
  • Improved monitoring and failure detection using a built-in heart beating mechanism;
  • Enabling better integrations with other cluster-manager frameworks and environments; and
  • Several bug-fixes that improve reliability, stability and robustness of data processing,

Organizations such as Intuit, LinkedIn, Netflix, Optimizely, Redfin, TripAdvisor, and Uber rely on Apache Samza to power complex data architectures that process billions of events each day. A list of user organizations is available at https://cwiki.apache.org/confluence/display/SAMZA/Powered+By

"Apache Samza is a highly performant stream/data processing system that has been battle tested over the years of powering mission critical applications in a wide range of businesses," said Kartik Paramasivam, Head of Streams Infrastructure, and Director of Engineering at LinkedIn. "With this 0.13 release, the power of Samza is no longer limited to YARN based topologies. It can now be used in any hosting environment. In addition, it now has a new higher level API that makes it significantly easier to create arbitrarily complex processing pipelines."

"Apache Samza has been powering near real-time use cases at Uber for the last year and a half," said Chinmay Soman, Staff Software Engineer at Uber. "This ranges from analytical use cases such as understanding business metrics, feature extraction for machine learning as well as some critical applications such as Fraud detection, Surge pricing and Intelligent promotions. Samza has been proven to be robust in production and is currently processing about billions of messages per day, accounting for 100s of TB of data flowing through the system." 

"At Optimizely, we have built the world’s leading experimentation platform, which ingests billions of click-stream events a day from millions of visitors for analysis," said Vignesh Sukumar, Senior Engineering Manager at Optimizely. "Apache Samza has been a great asset to Optimizely's Event ingestion pipeline allowing us to perform large scale, real time stream computing such as aggregations (e.g. session computations) and data enrichment on a multiple billion events/day scale. The programming model, durability and the close integration with Apache Kafka fit our needs perfectly."

"It has been a phenomenal experience engaging with this vibrant international community of users and contributors, and I look forward to our continued growth. It is a great time to be involved in the project and we welcome new contributors to the Samza community," added Pan.

Catch Apache Samza in action at Apache: Big Data, 16-18 May 2017 in Miami, FL http://apachecon.com/ , where the community will be showcasing how Samza simplifies stream processing at scale.

Availability and Oversight
Apache Samza software is released under the Apache License v2.0 and is overseen by a self-selected team of active contributors to the project. A Project Management Committee (PMC) guides the Project's day-to-day operations, including community development and product releases. For downloads, documentation, and ways to become involved with Apache Samza, visit http://samza.apache.org/ , https://blogs.apache.org/samza/ , and https://twitter.com/samzastream

About The Apache Software Foundation (ASF)
Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server --the world's most popular Web server software. Through the ASF's meritocratic process known as "The Apache Way," more than 680 individual Members and 6,000 Committers successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official user conference, trainings, and expo. The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Alibaba Cloud Computing, ARM, Bloomberg, Budget Direct, Capital One, Cash Store, Cerner, Cloudera, Comcast, Confluent, Facebook, Google, Hortonworks, HP, Huawei, IBM, InMotion Hosting, iSigma, LeaseWeb, Microsoft, ODPi, PhoenixNAP, Pivotal, Private Internet Access, Produban, Red Hat, Serenata Flowers, Target, WANdisco, and Yahoo. For more information, visit http://www.apache.org/ and https://twitter.com/TheASF

© The Apache Software Foundation. "Apache", "Hadoop", "Apache Hadoop", "Kafka", "Apache Kafka", "Samza", "Apache Samza", and "ApacheCon" are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

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