By Garry Turkington

ISBN-10: 1783285516

ISBN-13: 9781783285518

Design and enforce info processing, lifecycle administration, and analytic workflows with the state of the art toolbox of Hadoop 2

About This Book

  • Construct cutting-edge purposes utilizing higher-level interfaces and instruments past the normal MapReduce approach
  • Use the original beneficial properties of Hadoop 2 to version and study Twitter’s worldwide circulation of consumer generated data
  • Develop a prototype on a neighborhood cluster and installation to the cloud (Amazon net Services)

Who This booklet Is For

If you're a method or software developer drawn to studying the way to clear up functional difficulties utilizing the Hadoop framework, then this publication is perfect for you. you're anticipated to be accustomed to the Unix/Linux command-line interface and feature a few adventure with the Java programming language. Familiarity with Hadoop will be a plus.

What you are going to Learn

  • Write dispensed functions utilizing the MapReduce framework
  • Go past MapReduce and procedure information in genuine time with Samza and iteratively with Spark
  • Familiarize your self with info mining methods that paintings with very huge datasets
  • Prototype functions on a VM and set up them to a neighborhood cluster or to a cloud infrastructure (Amazon internet Services)
  • Conduct batch and genuine time facts research utilizing SQL-like tools
  • Build information processing flows utilizing Apache Pig and notice the way it allows the straightforward incorporation of customized functionality
  • Define and orchestrate complicated workflows and pipelines with Apache Oozie
  • Manage your information lifecycle and alterations over time

In Detail

This ebook introduces you to the realm of creating data-processing functions with the wide range of instruments supported by way of Hadoop 2. beginning with the middle parts of the framework—HDFS and YARN—this e-book will consultant you thru how you can construct functions utilizing various approaches.

You will find out how YARN thoroughly adjustments the connection among MapReduce and Hadoop and permits the latter to aid extra assorted processing ways and a broader array of purposes. those comprise real-time processing with Apache Samza and iterative computation with Apache Spark. subsequent up, we talk about Apache Pig and the dataflow information version it offers. you'll find how you can use Pig to investigate a Twitter dataset.

With this booklet, it is possible for you to to make your existence more uncomplicated through the use of instruments resembling Apache Hive, Apache Oozie, Hadoop Streaming, Apache Crunch, and Kite SDK. The final a part of this e-book discusses the most probably destiny course of significant Hadoop elements and the way to become involved with the Hadoop community.

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Learning Hadoop 2 by Garry Turkington


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