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|a Barot, Gaurav,
|e author.
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|a Hadoop backup and recovery solutions :
|b learn the best strategies for data recovery from Hadoop backup clusters and troubleshoot problems /
|c Gaurav Barot, Amij Patel, Chintan Mehta.
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|a Learn the best strategies for data recovery from Hadoop backup clusters and troubleshoot problems
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|a Birmingham, UK :
|b Packt Publishing,
|c 2015.
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|a 1 online resource (1 volume) :
|b illustrations
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
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|a Community experience distilled
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|a Online resource; title from cover (Safari, viewed August 13, 2015).
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|a Includes index.
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|a Cover -- Copyright -- Credits -- About the Authors -- About the Reviewers -- www.PacktPub.com -- Table of Contents -- Preface -- Chapter 1: Knowing Hadoop and Clustering Basics -- Understanding the need for Hadoop -- Apache Hive -- Apache Pig -- Apache HBase -- Apache HCatalog -- Understanding HDFS design -- Getting familiar with HDFS daemons -- Scenario 1 � writing data to the HDFS cluster -- Scenario 2 � reading data from the HDFS cluster -- Understanding the basics of Hadoop cluster -- Summary
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|a Chapter 2: Understanding Hadoop Backup and Recovery NeedsUnderstanding the backup and recovery philosophies -- Replication of data using DistCp -- Updating and overwriting using DistCp -- The backup philosophy -- Changes since the last backup -- The rate of new data arrival -- The size of the cluster -- Priority of the datasets -- Selecting the datasets or parts of datasets -- The timelines of data backups -- Reducing the window of possible data loss -- Backup consistency -- Avoiding invalid backups -- The recovery philosophy
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|a Knowing the necessity of backing up HadoopDetermining backup areas � what should I back up? -- Datasets -- Block size � a large file divided into blocks -- Replication factor -- A list of all the blocks of a file -- A list of DataNodes for each block � sorted by distance -- The ACK package -- The checksums -- The number of under-replicated blocks -- The secondary NameNode -- Active and passive nodes in second generation Hadoop -- Hardware failure -- Software failure -- Applications -- Configurations -- Is taking backup enough?
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|a Understanding the disaster recovery principleKnowing a disaster -- The need for recovery -- Understanding recovery areas -- Summary -- Chapter 3: Determining Backup Strategies -- Knowing the areas to be protected -- Understanding the common failure types -- Hardware failure -- Host failure -- Using commodity hardware -- Hardware failures may lead to loss of data -- User application failure -- Software causing task failure -- Failure of slow-running tasks -- Hadoop's handling of failing tasks -- Task failure due to data
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|a Bad data handling � through codeHadoop's skip mode -- Learning a way to define the backup strategy -- Why do I need a strategy? -- What should be considered in a strategy? -- Filesystem check (fsck) -- Filesystem balancer -- Upgrading your Hadoop cluster -- Designing network layout and rack awareness -- Most important areas to consider while defining a backup strategy -- Understanding the need for backing up Hive metadata -- What is Hive? -- Hive replication -- Summary -- Chapter 4: Backing Up Hadoop -- Data backup in Hadoop -- Distributed copy
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|a If you are a Hadoop administrator and you want to get a good grounding in how to back up large amounts of data and manage Hadoop clusters, then this book is for you.
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546 |
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|a English.
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590 |
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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630 |
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|a Apache Hadoop.
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630 |
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7 |
|a Apache Hadoop.
|2 fast
|0 (OCoLC)fst01911570
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650 |
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|a Electronic data processing
|x Distributed processing.
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650 |
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|a Information retrieval.
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650 |
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0 |
|a Big data.
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650 |
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|a Open source software.
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650 |
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6 |
|a Traitement réparti.
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650 |
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|a Recherche de l'information.
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650 |
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|a Données volumineuses.
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650 |
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|a Logiciels libres.
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650 |
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|a information retrieval.
|2 aat
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|a COMPUTERS
|x Computer Literacy.
|2 bisacsh
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|a COMPUTERS
|x Computer Science.
|2 bisacsh
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|a COMPUTERS
|x Data Processing.
|2 bisacsh
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7 |
|a COMPUTERS
|x Hardware
|x General.
|2 bisacsh
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|a COMPUTERS
|x Information Technology.
|2 bisacsh
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|a COMPUTERS
|x Machine Theory.
|2 bisacsh
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|a COMPUTERS
|x Reference.
|2 bisacsh
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7 |
|a Big data.
|2 fast
|0 (OCoLC)fst01892965
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650 |
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7 |
|a Electronic data processing
|x Distributed processing.
|2 fast
|0 (OCoLC)fst00906987
|
650 |
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7 |
|a Information retrieval.
|2 fast
|0 (OCoLC)fst00972619
|
650 |
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7 |
|a Open source software.
|2 fast
|0 (OCoLC)fst01046097
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700 |
1 |
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|a Patel, Amij,
|e author.
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700 |
1 |
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|a Mehta, Chintan,
|e author.
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776 |
0 |
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|i Print version:
|a Barot, Gaurav.
|t Hadoop backup and recovery solutions : learn the best strategies for data recovery from Hadoop backup clusters and troubleshoot problems.
|d Birmingham, England ; Mumbai, [India] : Packt Publishing, ©2015
|h xi, 180 pages
|k Community experience distilled.
|z 9781783289042
|
830 |
|
0 |
|a Community experience distilled.
|
856 |
4 |
0 |
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|z Texto completo
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938 |
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|a Askews and Holts Library Services
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938 |
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|a EBSCOhost
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