Data Access
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Chapter 5. Persistent Read/Write Data Access with Apache HBase

Hortonworks Data Platform (HDP) includes the Apache HBase database, which provides random, persistent access to data in Hadoop. This "NoSQL" database is ideal for scenarios that require real-time analysis and tabular data for end-user applications. Apache HBase can host big data tables because it scales linearly to handle very large (petabyte scale), column-oriented data sets. The data store is predicated on a key-value model that supports low latency reads, writes, and updates in a distributed environment.

As a natively nonrelational database, Apache HBase can combine data sources that use a wide variety of structures and schemas. It is natively integrated with the Apache Hadoop Distributed File System (HDFS) for resilient data storage and is designed for hosting very large tables with sparse data.

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