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Hadoop 2 Quick-Start Guide : Learn the Essentials of Big Data Computing in the Apache Hadoop 2 Ecosystem, Paperback / softback Book

Hadoop 2 Quick-Start Guide : Learn the Essentials of Big Data Computing in the Apache Hadoop 2 Ecosystem Paperback / softback

Paperback / softback

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Get Started Fast with Apache Hadoop (R) 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.

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 (R) 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 MapReduceUnderstanding Hadoop-based Data Lakes versus RDBMS Data WarehousesInstalling Hadoop 2 and core services on Linux machines, virtualized sandboxes, or clustersExploring the Hadoop Distributed File System (HDFS)Understanding the essentials of MapReduce and YARN application programmingSimplifying programming and data movement with Apache Pig, Hive, Sqoop, Flume, Oozie, and HBaseObserving application progress, controlling jobs, and managing workflowsManaging Hadoop efficiently with Apache Ambari-including recipes for HDFS to NFSv3 gateway, HDFS snapshots, and YARN configurationLearning basic Hadoop 2 troubleshooting, and installing Apache Hue and Apache Spark

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