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HBASE hadoop database really new features to handle growing data volumes

Hbase in hadoop

Hbase is Java implementation of Google's Big table. The data stored in HABSE is as shown below. Which is actually two parts.
Row Key : 00001
Column  : (Column Qualifier:Version:Value)
Features or key points of HBASE...
  • HBase data stores consist of one or more tables, which are indexed by row keys.
  • Data is stored in rows with columns, and rows can have multiple versions.
  • By default, data versioning for rows is implemented with time stamps.
  • Columns are grouped into column families, which must be defined up front during table creation. Column families are stored together on disk, which is why HBase is referred to as a column-oriented data store
In addition...
HBASE is distributed data store,which leverages a network attached cluster of low-cost commodity servers to store and persist data.HBASE architecture is littel trick to know.

Region Servers...
RegionServers are the software processes (often called daemons) you activate to store and retrieve data in HBase.

The big difference...
Main point is how HABSE handles growing data or big data. HBase automatically scales as you add data to the system. A huge benefit compared to most database management systems, which require manual intervention to scale the overall system beyond a single server. With HBase, as long as you have in the rack another spare server that's configured, scaling is automatic.

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