Apache Spark: 4 Real time Use cases

Introduction:

Fast data processing capabilities and developer convenience have made Apache Spark a strong contender for big data computations. Apache Spark was the world record holder in 2014 “Daytona Gray” category for sorting 100TB of data. By sorting 100 TB of data on 207 machines in 23 minutes whilst Hadoop MapReduce took 72 minutes on 2100 machines.



Fast data processing with spark has toppled apache Hadoop from its big data throne, providing developers with the Swiss army knife for real-time analytics. Increasing speeds are critical in many business models and even a single minute delay can disrupt the model that depends on real-time analytics.

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Top 4 Apache Spark Use cases in Real Time
  • Finance
  • E-commerce
  • Healthcare
  • Media & Entertainment

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