This article is in a series that reviews Big Data and the various solutions that have been built to capture, manage, and analyze very large amounts of data. Unlike the relational databases of the past, Big Data is not one-size-fits-all, but rather individual solutions have been built that address specific problem domains. The previous article reviews Hadoop, its infrastructure, and how to analyze data in Hadoop using MapReduce.

This article reviews the tenants underscoring Google’s Big Table paper and presents HBase as an open source implementation of Big Table. It also reviews the four-dimensional data model that HBase exposes and the two ways that you can access data in HBase: as a key/value store or by using MapReduce.

Read the full article at about:virtualization