Hadoop MapReduce has been widely embraced for analyzing large, static data sets. New technology integrates a stand-alone MapReduce engine into an in-memory data grid, enabling real-time analytics on ...

In earlier versions, Platfora’s software would generate batch-oriented MapReduce jobs to do the grunt work of finding patterns in the data, and used interactive SQL queries using the Hive engine for ...

Hadoop Streaming allows developers to use virtually any programming language to create MapReduce jobs, but it’s a bit of a kludge. The MapReduce programming environment needs to be pluggable.

With growth in unstructured big data, RDBMS is inadequate for big data analytics. Know how to use SQL and MapReduce for big data analytics, instead.

Hadoop 2.0 makes MapReduce less compulsory and the distributed file system more reliable.