Apache spark

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Apache Spark
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An in-memory data processing engine which is
rapid, elegant, and expressively develops APIS
for allowing data workers for efficiently
executing stream and machine learning SQL
workloads for the need of rapid access of
datasets in an iterative manner. Developers
omnipresently create applications with the spark
running on Apache Hadoop YARN, derive insights,
and developing their data science within a single
workload, distributed dataset in Hadoop. This
architecture offers the basis that permits Spark
and other applications sharing a cluster common
to the dataset while consistent ensuring levels
of service and response.
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• USE CASES IN SPARK
• As the momentum increases in Apache Spark,
  customers across various sectors can be seen
  seeking actual values using it. Here are few
  examples on the usage of Spark
• Insurance Claiming reimbursement procedures are
  optimized with the use of Sparks machine
  learning skills for processing and analyzing the
  claims.
• Healthcare Spark core is used for building a
  patient care system and streaming and SQL.
• Retail For analyzing point of sale use spark
  data and coupon usage.
• Internet For identifying the sparks ML
  capability get to know the fake profiles and
  develop the product matches that reveals their
  customers.

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• Whats New in Spark 2.0?
• This marks a big milestone for the project and it
  has new releases in targeted feature enhancement
  relying on community feedback. With respect to
  Sparks enhancement there are some major areas of
  improvement.
• SPARK SQL
• Machine Learning 
• Datasets

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