Category Archives: Training

Running the Cloudera Training VM in VirtualBox

Categories: General Guest Hadoop Training

Update (May 1 2013): The post below, which is based on an outdated VM, is deprecated. Rather please see the Cloudera QuickStart VM, which runs on VirtualBox, VMware, and KVM.

Cloudera’s Training VM is one of the most popular resources on our website. It was created with VMware Workstation, and plays nicely with the VMware Player for Windows, Linux, and Mac. But VMware isn’t for everyone. Thomas Lockney has managed to get our VM image running on Virtual Box,

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Announcing Cloudera Certification for Apache Hadoop

Categories: Community General Hadoop Training

As Apache Hadoop continues to turn heads at startups and big enterprises alike, Cloudera has received several requests to offer certification in addition to our popular training programs.

Certification is a critical component of any software ecosystem, and especially so for open source projects with quickly expanding user bases. Certification allows developers to ensure their skills are up to date, and allows employers and customers to confidently identify individuals that are up for the challenge of solving problems with Hadoop.

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Apache Pig Training Now Available Online

Categories: Hadoop Pig Training

Today I did a web search for “pig training” using my favorite search engine. I was wildly entertained by the results, and have embedded my favorite for your viewing pleasure.

However, when I stopped laughing, I realized that this probably isn’t what most people reading this blog would have hoped to find. To that end, I am happy to announce that Cloudera’s Online Apache Hadoop Training now includes two sessions on Apache Pig.

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Configuring Eclipse for Apache Hadoop Development (a screencast)

Categories: Data Ingestion General HDFS Training

Update (added 5/15/2013): The information below is dated; see this post for current instructions about configuring Eclipse for Hadoop contributions.

One of the perks of using Java is the availability of functional, cross-platform IDEs.  I use vim for my daily editing needs, but when it comes to navigating, debugging, and coding large Java projects, I fire up Eclipse.

Typically, when you’re developing Map-Reduce applications,

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