Hadoop

Faster, more capable: What Apache Spark brings to Hadoop

11th Feb `14, 07:39 AM in Hadoop

Apache Spark is an execution engine that broadens the type of computing workloads Hadoop can handle, while also…

BDMS
Guest Contributor
 

Apache Spark is an execution engine that broadens the type of computing workloads Hadoop can handle, while also tuning the performance of the big data framework.

Hadoop specialist Cloudera recently announced that it will offer commercial support for Apache Spark, which is available as part of Cloudera’s Hadoop-powered Enterprise Data Hub. But why should businesses care about Spark?

Apache Spark has numerous advantages over Hadoop’s MapReduce execution engine, in both the speed with which it carries out batch processing jobs and the wider range of computing workloads it can handle.

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