Apache Spark speeds up big data processing

Apache Spark speeds up big data processing by a factor of 10 to 100 and simplifies app development to such a degree that developers call it a “game changer.”

Apache Spark has been called a game changer and perhaps the most significant open source project of the next decade, and it’s been taking the big data world by storm since it was open sourced in 2010. Apache Spark is an open source data processing engine built for speed, ease of use and sophisticated analytics. Spark is designed to perform both batch processing and new workloads like streaming, interactive queries, and machine learning. “Spark is undoubtedly a force to be reckoned with in the big data ecosystem,” said Beth Smith, general manager of the Analytics Platform for IBM Analytics. IBM has invested heavily in Spark. Meanwhile, in a talk at the Spark Summit East 2015, Matthew Glickman, a managing director at Goldman Sachs, said he realized Spark was something special when he attended last year’s Strata + Hadoop World conference in New York.

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