Apache Spark to Boost SQL Efficiency on Hadoop in Splice Machine 2.0

Apache Spark to Boost SQL Efficiency on Hadoop in Splice Machine 2.0

Apache Spark became popular as an in-memory data processing framework that is frequently used with Hadoop. It is also very quickly transforming into a hub for building of other data-processing products. Recently released, version 2.0 of the SQL-RDBMS-on-Hadoop solution Splice Machine use Spark as either of two processing engines. Incoming work is allocation between them depends is it an OLTP or OLAP workload.

 

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