“billions of rows * millions of columns * thousands of versions = terabytes or petabytes of storage” (The HBase project)

Apache HBase is an open source implementation of Google’s BigTable. It is built atop Apache Hadoop and is tightly integrated with it. It is a good choice for applications requiring fast random access to very large amounts of data.

HBase stores data in a form of a distributed sorted multidimensional persistence maps called Tables. The table terminology makes it easier for people coming from the relational data management world to abstract data organization in HBase. HBase is designed to manage tables with billions of rows and millions of columns.

HBase data model consists of tables containing rows. Data is organized into column families grouping columns in each row. This is where similarities between HBase and relational databases end. Now we will explain what is under the HBase table/rows/column families/columns…

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