MARC record from Internet Archive

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001 ocn928751093
003 OCoLC
005 20220516225519.0
008 151111s2016 nyua o 001 0 eng d
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020 $a0134050118
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035 $a(OCoLC)928751093$z(OCoLC)938479098
037 $aCL0500000670$bSafari Books Online
050 4 $aQA76.9.D5
100 1 $aEadline, Doug,$d1956-$eauthor.
245 10 $aHadoop 2 quick-start guide :$blearn the essentials of big data computing in the Apache Hadoop 2 ecosystem /$cDouglas Eadline.
246 3 $aHadoop two quick-start guide
264 1 $aNew York :$bAddison-Wesley,$c[2016]
264 4 $c©2016
300 $a1 online resource (1 volume) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
588 0 $aOnline resource; title from title page (Safari, viewed November 5, 2015).
500 $aIncludes index.
520 $aGet Started Fast with Apache Hadoop ® 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 ® 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 MapReduce Understanding Hadoop-based Data Lakes versus RDBMS Data Warehouses Installing Hadoop 2 and core services on Linux machines, virtualized sandboxes, or clusters Exploring the Hadoop Distributed File System (HDFS) Understanding the essentials of MapReduce and YARN application programming Simplifying programming and data movement with Apache Pig, Hive, Sqoop, Flume, Oozie, and HBase Observing application progress, controlling jobs, and managing workflows Managing Hadoop efficiently with Apache Ambari-including recipes for HDFS to NFSv3 gateway, HDFS snapshots, and YARN configuration Learning basic Hadoop 2 troubleshooting, and installing Apache Hue and Apache Spark.
630 00 $aApache Hadoop.
650 0 $aElectronic data processing$xDistributed processing.
650 0 $aBig data.
630 07 $aApache Hadoop.$2fast$0(OCoLC)fst01911570
650 7 $aBig data.$2fast$0(OCoLC)fst01892965
650 7 $aElectronic data processing$xDistributed processing.$2fast$0(OCoLC)fst00906987
655 4 $aElectronic books.
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948 $hNO HOLDINGS IN P4A - 158 OTHER HOLDINGS