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Big Data Analytics with Spark: A Practitioner’s Guide to Using Spark for Large Scale Data Analysis

Big Data Analytics with Spark: A Practitioner’s Guide to Using Spark for Large Scale Data Analysis

Best Research Book in Big Data Analytics with Spark: A Practitioner’s Guide to Using Spark for Large Scale Data Analysis

Author(s) Name:  Mohammed Guller

About the Book:

   Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. In addition, this book will help you become a much sought-after Spark expert.
   This book provides an introduction to Spark and related big-data technologies. The book is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis to learn how to use Spark for different types of big data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning.

Table of Contents

  • Big Data Technology Landscape
  • Programming in Scala
  • Spark Core
  • Interactive Data Analysis with Spark Shell
  • Writing a Spark Application
  • Spark Streaming
  • Spark SQL
  • Machine Learning with Spark
  • Graph Processing with Spark
  • Cluster Managers
  • ISBN:   9781484209653

    Publisher:  Apress

    Year of Publication:   2016

    Book Link:  Home Page Url