HBase is one of the new NoSQL data stores that have come up in the recent years and has been gaining popularity at a fast pace. It is a true open source implementation of the Google Bigtable, and is a part of the Hadoop ecosystem. HBase is known to scale to 100s of nodes easily, providing fast random access to terabytes and petabytes of data. This tutorial is to get you started in the world of HBase so you can build a scalable application of your own.
We’ll accomplish this by covering the following aspects:
At the end of the tutorial, you’ll have an understanding of how to build applications that use HBase as the backend store.
Requirement: Make sure to come with your laptops (Mac / Linux or access to an EC2 instance) and if possible, download HBase 0.94.1 tar ball from the apache website (http://hbase.apache.org) so we can get to work right away. The tutorial includes hands-on exercises.
Amandeep Khurana is a solutions architect at Cloudera, where he’s involved in the entire lifecycle of Hadoop adoption for customers from use-case discovery to taking systems to production. Amandeep is also a coauthor of HBase In Action, a book geared toward building applications using HBase. Prior to Cloudera, Amandeep was at Amazon Web Services, where he was a part of the Elastic MapReduce team, and built the first version of EMR’s HBase offering.
Software Engineer at Cloudera, currently focused on the Apache HBase project.
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