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Hadoop in action /

Lam, Chuck.

Hadoop in action /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Hadoop in action // Chuck Lam.
作者:	Lam, Chuck.
出版者:	Greenwich, Conn. :Manning Publications, : 2011.,
面頁冊數:	xxi, 312 p. :ill. ; : 24 cm.;
標題:	Electronic data processing - Distributed processing. -
ISBN:	9781935182191 (pbk.) :

Hadoop in action /
Lam, Chuck.

Hadoop in action /Chuck Lam. - Greenwich, Conn. :Manning Publications,2011. - xxi, 312 p. :ill. ;24 cm.

Includes bibliographical references and index.

pt. I. Hadoop--A distributed programming framework. Introducing Hadoop ; Starting Hadoop ; Components of Hadoop -- pt. II. Hadoop in action. Writing basic MapReduce programs ; Advanced MapReduce ; Programming practices ; Cookbook ; Managing Hadoop -- pt. III. Hadoop gone wild. Running Hadoop in the cloud ; Programming with Pig ; Hive and the Hadoop herd ; Case studies -- Appendix: HDFS file commands.

Big data can be difficult to handle using traditional data-bases. Apache Hadoop is a NoSQL applications framework that runs on distributed clusters. This lets it scale to huge datasets. If you need analytic information from your data, Hadoop's the way to go. Hadoop in Action introduces the subject and teachers you how to write programs in the MapReduce style. It starts with a few easy examples and then moves quickly to show Hadoop use in more complex data analysis tasks. included are best practices and design patterns of MapReduce programming.

ISBN: 9781935182191 (pbk.) :NT1352

LCCN: 2012359652

Nat. Bib. No.: GBA985132bnbSubjects--Topical Terms:

528325
Electronic data processing
--Distributed processing.

LC Class. No.: QA76.9.D5 / L36 2011

Dewey Class. No.: 004.36

Hadoop in action /
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040 $a NLE $b eng $c NLE $d IF9 $d YDXCP $d UKM $d BTCTA $d JTB $d VP@ $d SINLB $d CNNAI $d IXA $d BWX $d UKMGB $d DLC $d BDX $d KMS $d OCLCF $d OKX $d OCLCQ $d NFU
050 # 4 $a QA76.9.D5 $b L36 2011
082 0 4 $2 22 $a 004.36
100 1 $a Lam, Chuck. $3 984772
245 1 0 $a Hadoop in action / $c Chuck Lam.
260 # $a Greenwich, Conn. : $c 2011. $b Manning Publications,
300 $a xxi, 312 p. : $b ill. ; $c 24 cm.
504 $a Includes bibliographical references and index.
505 0 # $a pt. I. Hadoop--A distributed programming framework. Introducing Hadoop ; Starting Hadoop ; Components of Hadoop -- pt. II. Hadoop in action. Writing basic MapReduce programs ; Advanced MapReduce ; Programming practices ; Cookbook ; Managing Hadoop -- pt. III. Hadoop gone wild. Running Hadoop in the cloud ; Programming with Pig ; Hive and the Hadoop herd ; Case studies -- Appendix: HDFS file commands.
520 # $a Big data can be difficult to handle using traditional data-bases. Apache Hadoop is a NoSQL applications framework that runs on distributed clusters. This lets it scale to huge datasets. If you need analytic information from your data, Hadoop's the way to go. Hadoop in Action introduces the subject and teachers you how to write programs in the MapReduce style. It starts with a few easy examples and then moves quickly to show Hadoop use in more complex data analysis tasks. included are best practices and design patterns of MapReduce programming.
650 # 0 $a Electronic data processing $x Distributed processing. $3 528325
650 # 0 $a Open source software. $3 561177