Apache Spark is an Open Source processing engine for Hadoop data built around speed, ease of use, and sophisticated analytics. In Recent years, the Spark had seen rapid adoption by wide range of large and small scale organizations

 The main difference that recent release of Spark made is the Speed. Spark enables applications in Hadoop clusters to run up to 100 xs faster in memory, and 10 xs faster even when running on disk.

This remains as one of the important features of Spark.

Coming to the Other Features of Spark, Ease of Use is its additional advantage.

Spark lets you quickly write applications in Java, Scala, or Python. It comes with a built-in set of over 80 high-level operators. And you can use it interactively to query data within the shell.

 The remaining features of Apache Spark Include

Integration with Hadoop

Spark can run on Hadoop 2's YARN cluster manager, and can read any existing Hadoop data.

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