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Hadoop 2 Quick-start Guide
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ISBN 9780134049991
REGISTERED: 07/13/22
UPDATED: 08/01/25
Hadoop 2 Quick-start Guide
Rank: 9%
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Get Started Fast with Apache Hadoop® 2, YARN, and Today’s Hadoop Ecosystem   With Hadoop 2.x and YARN, Hadoop moves beyond MapReduce to become practical for virtually any type of data processing


Specifications
  • Hadoop 2 Quick-start Guide available on January 30 2017 from VitalSource for Https://www.vitalsource.com/textbooks?term=9780134049991&cjsku=9780134049991" itemprop="offers" target="_external" title="" itemscope itemtype="http://schema.org/Offer">27.99
  • ISBN bar code 9780134049991 ξ1 registered January 30 2017
  • Product category is Book

  • # 9780134049991

Hadoop 2.x and the Data Lake concept represent a radical shift away from conventional approaches to data usage and storage. Hadoop 2.x installations offer unmatched scalability and breakthrough extensibility that supports new and existing Big Data analytics processing methods and models.   Hadoop® 2 Quick-Start Guide is the first easy, accessible guide to Apache Hadoop 2.x, YARN, and the modern Hadoop ecosystem. Building on his unsurpassed experience teaching Hadoop and Big Data, author Douglas Eadline covers all the basics you need to know to install and use Hadoop 2 on personal computers or servers, and to navigate the powerful technologies that complement it.   Eadline concisely introduces and explains every key Hadoop 2 concept, tool, and service, illustrating each with a simple “beginning-to-end” example and identifying trustworthy, up-to-date resources for learning more.   This guide is ideal if you want to learn about Hadoop 2 without getting mired in technical details. Douglas Eadline will bring you up to speed quickly, whether you’re a user, admin, devops specialist, programmer, architect, analyst, or data scientist.   Coverage Includes Understanding what Hadoop 2 and YARN do, and how they improve on Hadoop 1 with MapReduce Understanding Hadoop-based Data Lakes versus RDBMS Data Warehouses Installing Hadoop 2 and core services on Linux machines, virtualized sandboxes, or clusters Exploring the Hadoop Distributed File System (HDFS) Understanding the essentials of MapReduce and YARN application programming Simplifying programming and data movement with Apache Pig, Hive, Sqoop, Flume, Oozie, and HBase Observing application progress, controlling jobs, and managing workflows Managing Hadoop efficiently with Apache Ambari–including recipes for HDFS to NFSv3 gateway, HDFS snapshots, and YARN configuration Learning basic Hadoop 2 troubleshooting, and installing Apache Hue and Apache Spark  


References
    ^ Hadoop 2 Quick-start Guide VitalSource. (revised Jan 2017)

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