Practical Apache Spark: Using the Scala API

Book Description

Work with Spark using Scala to deploy and set up single-node, multi-node, and high-availability clusters. This book discusses various components of Spark such as Spark Core, DataFrames, Datasets and , Spark Streaming, Spark MLib, and R on Spark with the help of practical snippets for each topic. Practical Apache Spark also covers the integration of Apache Spark with Kafka with examples. You’ll follow a learn-to-do-by-yourself approach to learning – learn the concepts, practice the code snippets in Scala, and complete the assignments given to get an overall exposure.

On completion, you’ll have knowledge of the functional aspects of Scala, and hands-on expertise in various Spark components. You’ll also become familiar with algorithms with real-time usage.

What You Will Learn

  • Discover the functional programming features of Scala
  • Understand the complete architecture of Spark and its?components
  • Integrate Apache Spark with and Kafka
  • Use Spark SQL, DataFrames, and Datasets to process data using traditional SQL queries
  • Work with different machine learning concepts and libraries using Spark's MLlib packages

Who This Book Is For

Developers and professionals who deal with batch and stream data processing.

Book Details

  • Title: Practical Apache Spark: Using the Scala API
  • Author: ,
  • Length: 280 pages
  • Edition: 1st ed.
  • Language: English
  • Publisher:
  • Publication Date: 2019-01-02
  • ISBN-10: 1484236513
  • ISBN-13: 9781484236512
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