Friday, January 24, 2014

HBase Architecture

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HBase is an open-source, NoSQL, distributed, non-relational, versioned, multi-dimensional, column-oriented store which has been modeled after Google BigTable that runs on top of HDFS. ‘’NoSQL” is a broad term meaning that the database isn’t an RDBMS which supports SQL as its primary access language.But there are many types of NoSQL databases and Berkeley DB is a good example of a local NoSQL database, whereas HBase is very much a distributed database.

HBase provides all the features of Google BigTable. It began as project by Powerset to process massive amounts of data for natural language search. It was developed as part of Apache’s Hadoop project and runs on top of HDFS (Hadoop Distributed File System). It provides fault-tolerant ways of storing large quantities of sparse data. HBase is really more a “Data Store” than “Data Base” because it lacks many of the features available in RDBMS, such as typed columns, secondary indexes, triggers, and advanced query languages, etc.

In the Column-Oriented databases, data table is stored as sections of columns of data rather than as rows of data. The Data model of column oriented database consists of Table name, row key, column family, columns, time stamp. While creating tables in HBase, the rows will be uniquely identified with the help of row keys and time stamp. In this data model the column family are static whereas columns are dynamic. Now let us look into the HBase Architecture.

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