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HBASE: Top Features in Storing Big data

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In this post explained top features added in HBase to handle the data. The Java implementation of Google's Big Table you can call it as HBASE.  In HBase, the data store as two parts. Row Key : 00001 Column : (Column Qualifier:Version:Value) Features 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 upfront during table creation. Column families are stored together on disk, which is why HBase is referred to as a column-oriented datastore New features of HBASE check now In addition... HBase is a distributed data store, which leverages a network-attached cluster of low-cost commodity servers to store and persist data. HBase architecture is a little trick to know. Region Servers... RegionServers are the software p