It also supports analysis of large datasets data stored in Hadoop files

It provides a mechanism to put structure on this data and it also provides a simple query language called Hive QL which is based on SQL and which enables users familiar with SQL to query this data.

At the same time, this language also allows traditional map/reduce programmers to be able to plug in their custom mappers and reducers to do more sophisticated analysis which may not be supported by the built-in capabilities of the language.

What's New in This Release: [ read full changelog ]

· Tools to enable easy data extract/transform/load (ETL).
· A mechanism to impose structure on a variety of data formats.
· Access to files stored either directly in Apache HDFS (TM) or in other data storage systems such as Apache HBase (TM).
· Query execution via MapReduce.