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About Apache Spark Tutorial

Apache Spark is a lightning-fast cluster computing designed for fast computation.

It was built on top of Hadoop MapReduce and it extends the MapReduce model to efficiently use more types of computations which includes Interactive Queries and Stream Processing.

This is a brief tutorial that explains the basics of Spark Core programming.

List of Topics :

Apache Spark - Introduction
Apache Spark - RDD
Apache Spark - Installation
Apache Spark - Core Programming
Apache Spark - Deployment
Advanced Spark Programming

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Frequently Asked Questions(FAQ)

What is Apache Spark?

Apache Spark is a lightning-fast cluster computing designed for fast computation.

What is Apache Spark built on top of?

Apache Spark is built on top of Hadoop MapReduce.

What types of computations does Apache Spark efficiently use?

Apache Spark efficiently uses Interactive Queries and Stream Processing computations.

What does the Apache Spark tutorial explain?

The Apache Spark tutorial explains the basics of Spark Core programming.

What are some of the topics covered in the tutorial?

The topics covered in the tutorial include Introduction, RDD, Installation, Core Programming, Deployment, and Advanced Spark Programming.