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Instant MapReduce patterns - Hadoop essentials how-to : practical recipes to …
Perera, Srinath

Edition
-
ISBN/ISSN
9781782167709
Collation
47 p. : ill. ; 24 cm.
Series Title
-
Call Number
005.4 Per i

Edition
-
ISBN/ISSN
9781782167709
Collation
47 p. : ill. ; 24 cm.
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-
Call Number
005.4 Per i
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Analysing Apache Pig, Apache Hive, and Mysql Query Performance on Large Dataset
Erwin, AlvaIpung, Heru PurnomoAlkatiri, Ammar Fuad

Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. With the capabilities of Hadoop to process large da…

Edition
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-
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-
Series Title
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Call Number
1610
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Hadoop application architectures : designing real-world big data applications
Grover, MarkMalaska, TedSeidman, JonathanShapira, Gwen

Edition
-
ISBN/ISSN
9781491900086
Collation
xxi, 371 p. : ill. ; 24 cm.
Series Title
-
Call Number
004.22 Had

Edition
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ISBN/ISSN
9781491900086
Collation
xxi, 371 p. : ill. ; 24 cm.
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004.22 Had
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Hadoop in practice
Holmes, Alex

Edition
-
ISBN/ISSN
9781617290237
Collation
xxiii, 511 p. : ill. ; 24 cm.
Series Title
-
Call Number
005.4 Hol h

Edition
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ISBN/ISSN
9781617290237
Collation
xxiii, 511 p. : ill. ; 24 cm.
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005.4 Hol h
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Developing a scalable and accurate job recommendation system with distributed…
Dicky, TimothyErwin, AlvaIpung, Heru Purnomo

The purpose of this research is to develop a job recommender system based on the Hadoop Map Reduce framework to achieve scalability of the system when it processes big data. Also, a machine learnin…

Edition
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-
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-
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Call Number
3008
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