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150402s2015 enka o 001 0 eng d |
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|a 905735739
|a 1259095820
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|a 9781784397722
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|a 1784397725
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|z 9781784391737
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|a 1784391735
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|a 9781784391737
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|a DEBBG
|b BV042683007
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|a (OCoLC)906041047
|z (OCoLC)905735739
|z (OCoLC)1259095820
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|a CL0500000573
|b Safari Books Online
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|a QA76.9.D5
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|a 004.36
|2 23
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|a UAMI
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|a Fasale, Amol,
|e author.
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|a YARN essentials :
|b a comprehensive, hands-on guide to install, administer, and configure settings in YARN /
|c Amol Fasale, Nirmal Kumar.
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|a Comprehensive, hands-on guide to install, administer, and configure settings in YARN
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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 Description based on online resource; title from cover page (Safari, viewed March 26, 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: Need for YARN; The redesign idea; Limitations of the classical MapReduce or Hadoop 1.x; YARN as the modern operating system of Hadoop; What are the design goals for YARN; Summary; Chapter 2: YARN Architecture; Core components of YARN architecture; ResourceManager; ApplicationMaster (AM); NodeManager (NM); YARN scheduler policies; The FIFO (First In First Out) scheduler; The fair scheduler; The capacity scheduler; Recent developments in YARN architecture; Summary
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|a Chapter 3: YARN InstallationSingle-node installation; Prerequisites; Platform; Software; Starting with the installation; The standalone mode (local mode); The pseudo-distributed mode; The fully-distributed mode; HistoryServer; Slave files; Operating Hadoop and YARN clusters; Starting Hadoop and YARN clusters; Stopping Hadoop and YARN clusters; Web interfaces of the Ecosystem; Summary; Chapter 4: YARN and Hadoop Ecosystems; The Hadoop 2 release; A short introduction to Hadoop 1.x and MRv1; MRv1 versus MRv2; Understanding where YARN fits into Hadoop; Old and new MapReduce APIs
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|a Backward compatibility of MRv2 APIsBinary compatibility of org.apache.hadoop.mapred APIs; Source compatibility of org.apache.hadoop.mapred APIs; Practical examples of MRv1 and MRv2; Preparing the input file(s); Running the job; Result; Summary; Chapter 5: YARN Administration; Container allocation; Container allocation to the application; Container configurations; YARN scheduling policies; The FIFO (First In First Out) scheduler; The FIFO (First In First Out) scheduler; The capacity scheduler; Capacity scheduler configurations; The fair scheduler; Fair scheduler configurations
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|a YARN multitenancy application supportYARN administration; Administrative tools; Adding and removing nodes from a YARN cluster; Administrating YARN jobs; MapReduce job configurations; YARN log management; YARN web user interface; Summary; Chapter 6: Developing and Running a Simple YARN Application; Running sample examples on YARN; Running a sample Pi example; Monitoring YARN applications with web GUI; YARN's MapReduce support; The MapReduce ApplicationMaster; Example YARN MapReduce settings; YARN's compatibility with MapReduce applications; Developing YARN applications
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|a The YARN application workflowWriting the YARN client; Writing the YARN ApplicationMaster; Responsibilities of the ApplicationMaster; Summary; Chapter 7: YARN Frameworks; Apache Samza; Writing a Kafka producer; Writing the hello-samza project; Starting a grid; Storm-YARN; Prerequisites; Hadoop YARN should be installed; Apache ZooKeeper should be installed; Setting up Storm-YARN; Getting the storm.yaml configuration of the launched Storm cluster; Building and running Storm-Starter examples; Apache Spark; Why run on YARN?; Apache Tez; Apache Giraph; HOYA (HBase on YARN); KOYA (Kafka on YARN)
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|a If you have a working knowledge of Hadoop 1.x but want to start afresh with YARN, this book is ideal for you. You will be able to install and administer a YARN cluster and also discover the configuration settings to fine-tune your cluster both in terms of performance and scalability. This book will help you develop, deploy, and run multiple applications/frameworks on the same shared YARN cluster.
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546 |
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|a English.
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590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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630 |
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|a Apache Hadoop.
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630 |
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|a Apache Hadoop
|2 fast
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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 File organization (Computer science)
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|a Traitement réparti.
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650 |
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|a Fichiers (Informatique)
|x Organisation.
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|a Electronic data processing
|x Distributed processing
|2 fast
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|a File organization (Computer science)
|2 fast
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700 |
1 |
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|a Kumar, Nirmal,
|e author.
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776 |
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|z 1-78439-173-5
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776 |
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|z 1-336-02613-8
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830 |
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|a Community experience distilled.
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856 |
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|u https://learning.oreilly.com/library/view/~/9781784391737/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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938 |
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|a YBP Library Services
|b YANK
|n 12316836
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|a 92
|b IZTAP
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