Building Scale Free Applications with Hadoop and Cascading
*Excerpt
A rapid introduction to Hadoop architecture, MapReduce patterns, and best practices with Cascading.
Description
Many more applications are suitable to be built on Apache Hadoop than many developers realize.
In this presentation, we hope to give attendees enough information on how Hadoop works, how MapReduce can be leveraged to perform common and well understood data processing operations, and how the Cascading open-source project helps developers rapidly build sophisticated Hadoop applications that can be simply tested locally and executed remotely.
Speaking experience
Speaker
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Chris Wensel
Concurrent, Inc.- Website: http://www.concurrentinc.com/
- Blog: http://www.manamplified.org/
- Twitter: cwensel
- Identi.ca: cwensel
Biography
Chris K Wensel has been a Software and Systems Architect for over 15 years. He is the founder of Concurrent Inc., and the author of the Cascading data processing open-source project. He’s also an Instructor at Scale Unlimited, a professional services company offering commercial training and consulting for Hadoop and related large architectures.
Over the last 7 years he has deployed large and sophisticated data processing applications for use by companies providing geo-spatial, web content, and financial data services in both the traditional enterprise data-center and on Amazon EC2.
Sessions
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- Title: Building Scale Free Applications with Hadoop and Cascading
- Track: Cooking
- Room: St. Johns
- Time: 5:00 – 5:45pm
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Excerpt:
A rapid introduction to Hadoop architecture, MapReduce patterns, and best practices with Cascading.
- Speakers: Chris Wensel