In this article, take a look at HBase in Hadoop NoSQL.
Let’s be friends: Comment (0) Join the DZone community and get the full member experience. HBase is a column-oriented data store that sits on top of the Hadoop Distributed File System and provides random data lookup and updates for big data consultants. Hadoop Distributed File System is based on “Write Once Read Many” architecture which means that files once written to HDFS storage layer cannot be modified but only be read any number of times. However, HBase provides a schema on top of the HDFS files to access and update these files any number of times. HBase provides strong consistency for both Read/Write which means you will always get the latest data in a read operation and also write operation will not be completed unless all the replicas have been updated. HBase provides automatic sharding using the concepts of regions, which are distributed over the cluster. Whenever the table size becomes too large to accommodate the data, it is auto sharded and distributed among multiple machines. HBase provides automatic region failover in case of failures. HBase is based on top of HDFS and can be integrated with MapReduce programs to act as a source and sinks. HBase provides Java APIs as well as Rest/Thrift APIs for non-java endpoints HBase has an inbuilt block cache and bloom filter for query optimization.
