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Home > Computing and Information Technology > Databases > Data mining > Beginning Apache Spark 2: With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library
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Beginning Apache Spark 2: With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library

Beginning Apache Spark 2: With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library

          
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About the Book

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 to run Spark in Spark Shell or Databricks  Use and manipulate RDDs  Deal with structured data using Spark SQL through its operations and advanced functions Build real-time applications using Spark Structured Streaming Develop intelligent applications with the Spark Machine Learning library Who This Book Is For Programmers and developers active in big data, Hadoop, and Java but who are new to the Apache Spark platform.  

Table of Contents:
1. Introduction to Apache Spark2. Working with Apache Spark3. Resilient Distributed Dataset4. Spark SQL - Foundation5. Spark SQL - Advanced6. Spark Streaming7. Spark Streaming Advanced8. Machine Learning with Spark.


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Product Details
  • ISBN-13: 9781484235782
  • Publisher: Apress
  • Publisher Imprint: Apress
  • Height: 254 mm
  • No of Pages: 393
  • Spine Width: 21 mm
  • Weight: 798 gr
  • ISBN-10: 1484235789
  • Publisher Date: 17 Aug 2018
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library
  • Width: 178 mm


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