Guide to supporting on-premise spark deployments
With a cloud-scale data platform
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Apache Spark has become one of the most rapidly adopted open source platforms in history. Demand is predicted to grow at a compound annual rate of 67% per year between 2017 and 2020, with the cumulative Spark market valued at more than $9 billion during that period, according to the research firm MarketAnalysis.com.
There are several reasons for this staggering growth. One is that Spark is “a damn good technology,” according to MarketAnalysis.com, providing users with a fast in-memory data engine that supports a wide range of expressive development APIs.