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This article completes a three-part series on HBase. The first article provided an overview of HBase, described how it manages its data, and demonstrated how to set up a local environment; the second article introduced the Java API for interacting with HBase to perform Create Read Update Delete (CRUD) operations as well as to retrieve rows using table scans; and this article reviewed HBase’s support for Map Reduce applications. After reading this series you should know how to set up a local environment, manage data, and perform both real-time queries and analyze data with MapReduce jobs. There is still a lot to learn about HBase and about MapReduce, but my hope is that this series has whet your appetite to see what it has to offer!

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