Hadoop World 2011: Hadoop and Graph Data Management: Challenges and Opportunities

Date

Tuesday, November 8th, 2011

Description

As Hadoop rapidly becomes the universal standard for scalable data analysis and processing, it becomes increasingly important to understand its strengths and weaknesses for particular application scenarios in order to avoid inefficiency pitfalls. For example, Hadoop has great potential to perform scalable graph analysis, but recent research from Yale University has shown that a conventional approach to graph analysis is 1300 times less efficient than a more advanced approach. This session will give an overview of the advanced approach and then discuss further changes that are needed in the core Hadoop framework to take performance to the next level.

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Presentation Video