Description

Book Synopsis
Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it.

Along the way, you'll discover resilient distributed datasets (RDDs); use Spark SQL for structured data; and learn stream processing and build real-time applications with Spark Structured Streaming. Furthermore, you'll learn the fundamentals of Spark ML for machine learning and much more. 

After you read this book, you will have the fundamentals to become proficient in using Apache Spark and know when and how to apply it to your big data applications.  


What You Will Learn  
  • Understand Spark unified data processing platform
  • How

Beginning Apache Spark 2

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    Order before 4pm today for delivery by Tue 21 Jul 2026.

    A Paperback by Hien Luu

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      Publisher: APress
      Publication Date: Publication Date: 1/17/2018
      ISBN13: 9781484235782, 978-1484235782
      ISBN10: 1484235789
      Also in:
      Computing Data mining

      Description

      Book Synopsis
      Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it.

      Along the way, you'll discover resilient distributed datasets (RDDs); use Spark SQL for structured data; and learn stream processing and build real-time applications with Spark Structured Streaming. Furthermore, you'll learn the fundamentals of Spark ML for machine learning and much more. 

      After you read this book, you will have the fundamentals to become proficient in using Apache Spark and know when and how to apply it to your big data applications.  


      What You Will Learn  
      • Understand Spark unified data processing platform
      • How

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