Tame The Elephant: Avoid the Common Pitfalls of Managing Hadoop
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Published on Aug 3, 2012
Whether you're experimenting with Hadoop or running in production, you've probably had frustrating moments when things are going wrong but you just can't figure out why.
Distributed systems don't fail like your traditional applications. Hadoop is more likely to falter than fail. Problems in Hadoop (and distributed systems in general) develop as a series of small events that build over time in unpredictable and invisible ways. Developers and operations teams working with Hadoop need to get immediate and detailed insights that traditional methods just can't provide.
In this session, you will learn:
* The key reasons Hadoop deployments stumble and fail
* New monitoring techniques that can detect problems developing and proactively head off issues
* Boundary's innovative approach to Hadoop and big data application management
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