Fast Data Processing with Spark, 2nd Edition
Publisher: Packt Publishing
Final Release Date: March 2015
Pages: 184

Spark is a framework used for writing fast, distributed programs. Spark solves similar problems as Hadoop MapReduce does, but with a fast in-memory approach and a clean functional style API. With its ability to integrate with Hadoop and built-in tools for interactive query analysis (Spark SQL), large-scale graph processing and analysis (GraphX), and real-time analysis (Spark Streaming), it can be interactively used to quickly process and query big datasets.

Fast Data Processing with Spark - Second Edition covers how to write distributed programs with Spark. The book will guide you through every step required to write effective distributed programs from setting up your cluster and interactively exploring the API to developing analytics applications and tuning them for your purposes.

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oreillyFast Data Processing with Spark, 2nd Edition
 
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3.0

Provides a quick overview

By Ivaylo

from Rennes, France

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Pros

  • Easy to understand

Cons

  • Too basic

Best Uses

  • Novice
  • Student

Comments about oreilly Fast Data Processing with Spark, 2nd Edition:

For me this books was too shallow. I expected at least a little bit more depth. It did provide a reasonable overview of most of the main features of the Spark framework, but it was mostly that - an overview with a few examples. I got the feeling that a few internet pages would provide me with most of the information contained in the book.

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