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Hadoop For Dummies

By: Contributor(s): Material type: TextTextSeries: -For dummiesPublication details: New Delhi Wiley India Pvt. Ltd. 2014Description: 394pISBN:
  • 978126550517
Subject(s): DDC classification:
  • 004.36 DER-H
Contents:
Introducing Hadoop and seeing what it's good for -- Common use cases for big data in Hadoop -- Setting up your Hadoop environment -- Storing data in Hadoop : the Hadoop distributed file system -- Reading and writing data -- MapReduce programming -- Frameworks for processing data in Hadoop : YARN and MapReduce -- Pig : Hadoop programming made easier -- Statistical analysis in Hadoop -- Developing and scheduling application workflows with Oozie -- Hadoop and the data warehouse : friends or foes? -- Extremely big tables : storing data in HBase -- Applying structure to Hadoop data with Hive -- Integrating Hadoop with relational databases using Sqoop -- The holy grail : native SQL access to Hadoop data -- Deploying Hadoop -- Administering your Hadoop cluster -- Ten Hadoop resources worthy of a bookmark -- Ten reasons to adopt Hadoop.
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Holdings
Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 004.36 DER-H (Browse shelf(Opens below)) Available DCB3575

Introducing Hadoop and seeing what it's good for -- Common use cases for big data in Hadoop -- Setting up your Hadoop environment -- Storing data in Hadoop : the Hadoop distributed file system -- Reading and writing data -- MapReduce programming -- Frameworks for processing data in Hadoop : YARN and MapReduce -- Pig : Hadoop programming made easier -- Statistical analysis in Hadoop -- Developing and scheduling application workflows with Oozie -- Hadoop and the data warehouse : friends or foes? -- Extremely big tables : storing data in HBase -- Applying structure to Hadoop data with Hive -- Integrating Hadoop with relational databases using Sqoop -- The holy grail : native SQL access to Hadoop data -- Deploying Hadoop -- Administering your Hadoop cluster -- Ten Hadoop resources worthy of a bookmark -- Ten reasons to adopt Hadoop.

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