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Learning Hadoop [PDF]~Storm~

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Description

 							Learning Hadoop 
  Author:Turkington, Garry, Modena, Gabr
  Publisher and Published
Date: Packt Publishing - ebooks Account (February 13, 2015)
  ISBN: 1783285516
  Format:
Retail PDF
  
  PM IF YOU NEED HELP WITH THE TORRENT :)
  
  
  
  DESCRIPTION
  Design and implement data processing, lifecycle management, and analytic workflows with the
cutting-edge toolbox of Hadoop 2
  About This Book
  
   Construct state-of-the-art applications using
higher-level interfaces and tools beyond the traditional MapReduce approach
   Use the unique features of Hadoop 2
to model and analyze Twitter's global stream of user generated data
   Develop a prototype on a local cluster and
deploy to the cloud (Amazon Web Services)
  
  Who This Book Is For
  
  If you are a system or
application developer interested in learning how to solve practical problems using the Hadoop framework, then this book
is ideal for you. You are expected to be familiar with the Unix/Linux command-line interface and have some experience
with the Java programming language. Familiarity with Hadoop would be a plus.
  In Detail
  
  This book
introduces you to the world of building data-processing applications with the wide variety of tools supported by Hadoop
2. Starting with the core components of the framework?HDFS and YARN?this book will guide you through how to build
applications using a variety of approaches.
  
  You will learn how YARN completely changes the relationship
between MapReduce and Hadoop and allows the latter to support more varied processing approaches and a broader array of
applications. These include real-time processing with Apache Samza and iterative computation with Apache Spark. Next up,
we discuss Apache Pig and the dataflow data model it provides. You will discover how to use Pig to analyze a Twitter
dataset.
  
  With this book, you will be able to make your life easier by using tools such as Apache Hive,
Apache Oozie, Hadoop Streaming, Apache Crunch, and Kite SDK. The last part of this book discusses the likely future
direction of major Hadoop components and how to get involved with the Hadoop community.
  
  
  
 

  
  
  
  
  
   						

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