Containers help move Spark and Hadoop into analytics operations

Moving custom Spark and Hadoop pilot projects into production use has proved daunting. But container technology eased the transition at the Advisory Board analytics service.

Spark and Hadoop analytics efforts often stumble when teams try to turn small pilot projects into larger operational apps meant for data science teams and business analysts. For many, it is an obstacle in their quest to work with big data.

Author: Jack Vaughan

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