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Guide to Supporting On-Premise Spark Deployments with a Cloud-Scale Data Platform

Published by Pure Storage

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. Other key factors driving the growth ofSpark include:

  • The rising importance of big data analytics in general and the specific preeminence of Hadoop® as an analytics platform.
  • Spark’s ability to speed analytics applications by orders of magnitude, shaped by characteristicssuch as versatility and ease of use.
  • Spark’s flexibility in allowing developers to write applications in Java®, Scala, Python®, or R.
  • The maturation of Spark technology at a time when billions of Internet of Things (IoT) devices are about to hit the market.

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