Hadoop 2 quick-start guide : learn the essential of big data computing in the Apache Hadoop 2 ecosystem / Douglas Eadline.
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Item type | Current library | Call number | Copy number | Status | Notes | Date due | Barcode |
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Main Library | QA76.9.B45 .E24 2016 (Browse shelf (Opens below)) | 1 | Available | STACKS | 51952000237402 |
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QA76.9.A73 S96 2011 ASPLOS XVI : Sixteenth International Conference on Architectural Support for Programming Languages and Operating Systems, March 5-11, 2011, Newport Beach, Calif. / | QA76.9.A73 S97 2010 Proceedings / | QA76.9.A93 .H34 2011 Information technology auditing and assurance / | QA76.9.B45 .E24 2016 Hadoop 2 quick-start guide : learn the essential of big data computing in the Apache Hadoop 2 ecosystem / | QA76.9.B45 .K74 2016 Big data's big potential in developing economies : impact on agriculture, health and environmental security / | QA76.9.C643 .P38 2014 Computer organization and design. | QA76.9.D26 .C66 2015 Database systems : a practical approach to design, implementation and management / |
Includes index.
Background and concepts -- Installation recipes -- Hadoop distributed file system basics -- Running example programs and benchmarks -- Hadoop MapReduce framework -- MapReduce programming -- Essential Hadoop tools -- Hadoop YARN applications -- Managing Hadoop with Apache Ambari -- Basic Hadoop administration procedures.
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® 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.
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