Description:

Don't have the time to scale or shard MySQL? Don't have the GDP of a small nation to spend on Oracle? Riding on top of Hadoop's Distributed File Store and providing means to easily interact with Hadoop's MapReduce framework, HBase provides an inexpensive, simple, and scalable solution to persisting and processing massively large sets of data. This talk will introduce HBase's data model and API and then explore several cases where its use solved problems quickly and easily.

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Time & Location

October 30, 2009 — 04:15 PM
Georgia Tech Research Institute Conference Center (Map It)