Tag Archives: Pig

Running CDH 5 on GlusterFS 3.3

Categories: CDH Community Guest

The following post was written by Jay Vyas (@jayunit100) and originally published in the Gluster.org Community.

I have recently spent some time getting Cloudera’s CDH 5 distribution of Apache Hadoop to work on GlusterFS 3.3 using Distributed Replicated 2 Volumes. This is made possible by the fact that Apache Hadoop has a pluggable filesystem architecture that allows the computational components within the CDH 5 distribution to be configured to use alternative filesystems to HDFS.

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The New Hadoop Application Architectures Book is Here!

Categories: Books Hadoop

There’s an important new addition coming to the Apache Hadoop book ecosystem. It’s now in early release!

We are very happy to announce that the new Apache Hadoop book we have been writing for O’Reilly Media, Hadoop Application Architectures, is now available as an early release! It contains the first two chapters and can be found in O’Reilly’s Catalog and via Safari.        

The goal of this book is to give developers and architects guidance on architecting end-to-end solutions using Hadoop and tools in the ecosystem.

How-to: Use the ShareLib in Apache Oozie (CDH 5)

Categories: How-to Oozie

The internals of Oozie’s ShareLib have changed recently (reflected in CDH 5.0.0). Here’s what you need to know.

In a previous blog post about one year ago, I explained how to use the Apache Oozie ShareLib in CDH 4. Since that time, things have changed about the ShareLib in CDH 5 (particularly directory structure), so some of the previous information is now obsolete. (These changes went upstream under OOZIE-1619.) 

In this post I’ll explain those changes.

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Meet the Data Scientist: Stuart Horsman

Categories: Data Science Training

Meet Stuart Horsman, among the first to earn the CCP: Data Scientist distinction.

Big Data success requires professionals who can prove their mastery with the tools and techniques of the Hadoop stack. However, experts predict a major shortage of advanced analytics skills over the next few years. At Cloudera, we’re drawing on our industry leadership and early corpus of real-world experience to address the Big Data talent gap with the Cloudera Certified Professional (CCP) program.

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How Impala Brings Real-Time, Big Data Analytics to Digital Reasoning’s Users

Categories: Guest Hive Impala Use Case

The following post, by Sarah Cannon of Digital Reasoning, was originally published in that company’s blog. Digital Reasoning has graciously permitted us to re-publish here for your convenience.

At the beginning of each release cycle, engineers at Digital Reasoning are given time to explore the latest in Big Data technologies, examining how the frequently changing landscape might be best adapted to serve our mission. As we sat down in the early stages of planning for Synthesys 3.8 one of the biggest issues we faced involved reconciling the tradeoff between flexibility and performance.

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