Top 10 Lessons Learned from Deploying Hadoop in a Private Cloud

Date & Time: Day 3, Thursday, March 25, 2010 12:30 pm EDT (9:30 PDT)
Keywords: hadoop, hbase, production, deploy, solr.
Authors: Rod Cope, OpenLogic, Inc.
Abstract: Hadoop, HBase, and friends are built from the ground up to support Big Data, but that doesn't make them easy. Just like with any other relatively new and complex technologies, there are some rough edges and growing pains to manage. I've learned some hard lessons while deploying HBase tables containing billions of rows and dozens of terabytes on OpenLogic's Hadoop infrastructure. Come to this session to learn about some of the "gotchas" you might run into when deploying Hadoop and HBase in your own private cloud and how to avoid them.

Here are some general areas we'll explore:

• Hard-to-find configuration problems and debugging techniques
• Under-documented yet critical features
• Deployment recommendations for particular use cases
• Advice on how to import Big Data
• Using JRuby/Ruby to make life with Hadoop and HBase easier

Bio:

Rod Cope is the CTO and Founder of OpenLogic, a provider of Open Source support and governance solutions for the enterprise. He has over 25 years of software development experience in a wide range of industries and technologies.

Prior to founding OpenLogic, Rod worked for General Electric, IBM, IBM Global Services, and Anthem before starting his own consulting company. As a consultant, he has architected solutions for Ericsson, Ford, Manugistics, Integral, Goodyear, and many other companies of all sizes.

Rod has spoken on various technical and business topics at the Open Source Business Conference, the O'Reilly Open Source Convention, the Next Generation Data Center conference, JavaOne, and other venues around the United States and Europe. He holds both Bachelor's and Master's degrees in Software Engineering from the University of Louisville.

-- Cloud Slam 2010 - Cloud Computing Conference