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Apache Spark - Features, Advantage and Disadvantage!

What Is Apache Spark?
The Apache Spark is an open source, very fast, in-memory data processing and general engine and used for the large amount of data processing.

Apache Spark is a cluster-computing framework.

The Advantage of Spark -
ü  Ease of Use
ü  Open Source
ü  Spark is in-memory cluster computing so it Speed is very fast.
ü  Combine SQL, streaming, and complex analytics
ü  Spark runs everywhere - on Hadoop, Mesos, and standalone and so on.
ü  Supports multiple languages

The Spark is not a modified version of Hadoop and the Spark uses Hadoop for -
ü  Storage
ü  Data Processing
ü  Spark supports the following languages -
ü  Java
ü  Python
ü  Scala
ü  R
ü  Clojure

Is Apache Spark going to replace Hadoop?
My answer Is Yes! What Is your Opinions about the same?
Hadoop will be replaced by Spark and both Apache Spark and Hadoop are big-data frameworks.

The Spark is one of the favourite choices of data scientist. Apache Spark is growing very quickly and replacing MapReduce.

I hope you are enjoying with this post! Please share with you friends!! Thank you!!!
By Anil Singh | Rating of this article (*****)

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