Hadoop MapReduce v2 Cookbook, 2/e(Paperback)

Thilina Gunarathne

  • 出版商: Packt Publishing
  • 出版日期: 2015-02-28
  • 售價: $2,110
  • 貴賓價: 9.5$2,005
  • 語言: 英文
  • 頁數: 293
  • 裝訂: Paperback
  • ISBN: 1783285478
  • ISBN-13: 9781783285471
  • 相關分類: Hadoop分散式架構
  • 海外代購書籍(需單獨結帳)
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Explore the Hadoop MapReduce v2 ecosystem to gain insights from very large datasets

About This Book

  • Process large and complex datasets using next generation Hadoop
  • Install, configure, and administer MapReduce programs and learn what's new in MapReduce v2
  • More than 90 Hadoop MapReduce recipes presented in a simple and straightforward manner, with step-by-step instructions and real-world examples

Who This Book Is For

If you are a Big Data enthusiast and wish to use Hadoop v2 to solve your problems, then this book is for you. This book is for Java programmers with little to moderate knowledge of Hadoop MapReduce. This is also a one-stop reference for developers and system admins who want to quickly get up to speed with using Hadoop v2. It would be helpful to have a basic knowledge of software development using Java and a basic working knowledge of Linux.

What You Will Learn

  • Configure and administer Hadoop YARN, MapReduce v2, and HDFS clusters
  • Use Hive, HBase, Pig, Mahout, and Nutch with Hadoop v2 to solve your big data problems easily and effectively
  • Solve large-scale analytics problems using MapReduce-based applications
  • Tackle complex problems such as classifications, finding relationships, online marketing, recommendations, and searching using Hadoop MapReduce and other related projects
  • Perform massive text data processing using Hadoop MapReduce and other related projects
  • Deploy your clusters to cloud environments

In Detail

Starting with installing Hadoop YARN, MapReduce, HDFS, and other Hadoop ecosystem components, with this book, you will soon learn about many exciting topics such as MapReduce patterns, using Hadoop to solve analytics, classifications, online marketing, recommendations, and data indexing and searching. You will learn how to take advantage of Hadoop ecosystem projects including Hive, HBase, Pig, Mahout, Nutch, and Giraph and be introduced to deploying in cloud environments.

Finally, you will be able to apply the knowledge you have gained to your own real-world scenarios to achieve the best-possible results.


探索 Hadoop MapReduce v2 生態系統,從大型數據集中獲取洞察力


  • 使用下一代 Hadoop 處理大型和複雜的數據集

  • 安裝、配置和管理 MapReduce 程序,了解 MapReduce v2 的最新功能

  • 以簡單直觀的方式呈現超過 90 個 Hadoop MapReduce 食譜,包含逐步指示和實際示例


如果你是一位大數據愛好者,希望使用 Hadoop v2 解決問題,那麼本書適合你。本書適合具有少量至中等程度 Hadoop MapReduce 知識的 Java 程序員。對於希望快速掌握使用 Hadoop v2 的開發人員和系統管理員來說,本書也是一本全面參考資料。具備使用 Java 進行軟體開發的基本知識和基本的 Linux 工作知識將會有所幫助。


  • 配置和管理 Hadoop YARN、MapReduce v2 和 HDFS 集群

  • 使用 Hive、HBase、Pig、Mahout 和 Nutch 等 Hadoop v2 生態系統來輕鬆有效地解決大數據問題

  • 使用基於 MapReduce 的應用程序解決大規模分析問題

  • 使用 Hadoop MapReduce 和其他相關項目解決複雜問題,如分類、尋找關係、線上營銷、推薦和搜索

  • 使用 Hadoop MapReduce 和其他相關項目進行大規模文本數據處理

  • 將你的集群部署到雲環境中


從安裝 Hadoop YARN、MapReduce、HDFS 和其他 Hadoop 生態系統組件開始,本書將帶領你學習許多令人興奮的主題,如 MapReduce 模式、使用 Hadoop 解決分析、分類、線上營銷、推薦、數據索引和搜索等問題。你將學習如何利用 Hadoop 生態系統項目,包括 Hive、HBase、Pig、Mahout、Nutch 和 Giraph,並介紹在雲環境中部署的方法。