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Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ix
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
2. HDFS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
Goals and Motivation 7
Design 8
Daemons 9
Reading and Writing Data 11
The Read Path 12
The Write Path 13
Managing Filesystem Metadata 14
Namenode High Availability 16
Namenode Federation 18
Access and Integration 20
Command-Line Tools 20
FUSE 23
REST Support 23
3. MapReduce . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
The Stages of MapReduce 26
Introducing Hadoop MapReduce 33
Daemons 34
When It All Goes Wrong 36
YARN 37
4. Planning a Hadoop Cluster . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
Picking a Distribution and Version of Hadoop 41
Apache Hadoop 41
Cloudera’s Distribution Including Apache Hadoop 42
Versions and Features 42
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WebCorpusConstruction.pdf
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TheIntelligentWeb.pdf
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TheDataWarehouseToolkit3rdEdition.pdf
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SublinearAlgorithmsforBigDataApplications.pdf
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SplunkOperationalIntelligenceCookbook.pdf
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Securing Hadoop.pdf
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Pro Hadoop.pdf
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PracticalDataAnalysis.pdf
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MasteringSplunk.pdf
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ModelBasedDevelopmentApplications.pdf
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MapReduceDesignPatterns.pdf
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Mastering Hadoop.pdf
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MakingSenseofDataI2ndEdition.pdf
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LinearandNonlinearProgramming4edition.pdf
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LearningSPARQL2ndEdition.pdf
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LearningSPARQL.pdf
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Learning Hadoop 2.pdf
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KNIMEEssentials.pdf
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BigDataImperatives.pdf
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BigDataGlossary.pdf
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BigDataForDummies.pdf
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BigDataBigInnovation.pdf
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BigDataAPrimer.pdf
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AuthorizationsinSAP.pdf
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Apache Hive Essentials.pdf
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Apache Hadoop YARN.pdf
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AnalyzingtheAnalyzers.pdf
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AccessDataAnalysisCookbook.pdf
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