Entries tagged [hadoop]

Wednesday Mar 26, 2014

Bigtop events at ApacheCon 2014, Denver, CO

Details of Bigtop meetup and hackathon durung ApacheCon 2014[Read More]

Friday Apr 19, 2013

BigTop: the way to grow open Hadoop stack acceptance

BigTop is stepping up in its role as the foundation of a standard Hadoop-based data analytics stack, essentially bringing most of the commercial offering to the standard footing.
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Sunday Jul 08, 2012

What is Bigtop, and Why Should You Care?

Ever since Apache Bigtop entered an incubation, we've been answering a very basic question: what exactly is Bigtop and why should you or anyone in the Apache (or Hadoop) community care. The earliest and the most succinct answer (the one used for the Apache Incubator proposal) simply stated that "Bigtop is a project for the development of packaging and tests of the Hadoop ecosystem". That was a nice explanation of how Bigtop relates to the rest of the Apache Software Foundation's (ASF) Hadoop ecosystem projects, yet it doesn't really help you understand the aspirations of Bigtop that go beyond what the ASF has traditionally done.

[Read More]

Monday Apr 02, 2012

Bigtop presents full stack based on Apache Hadoop 1.0

First ever full stack of Hadoop 1.0 has been just released. It includes all data analytics components like Hive, HBase, Pig, Mahout and my more. The release is available for immediate download from all ASF mirrors for all major Linux distributions: Ubuntu, Fedora, CentOS, Suse.
[Read More]

Thursday Feb 09, 2012

All you wanted to know about Hadoop, but were too afraid to ask: genealogy of elephants.

Lining up versions of Hadoop and making sense of all of them and their relations can be quit difficult. 

This article attempts to address the moot points and help you understand the "bigger picture" - literally.

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Wednesday Dec 28, 2011

Conception and validation of Hadoop BigData stack.

What is BigTop project? What are the goals and how it is getting to achieve it? What are the roots and founding ideas of the project?

I think you'll find the answers for these questions in what hopefully became a series of helpful posts helping IT professionals with Hadoop stack deployment and adoption.

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