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Data Analytics with Hadoop: An Introduction for Data Scientists

Ready to use statistical and machine learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed computing, you'll focus on particular analyses you can build, the data warehousing techniques that Hadoop provides, and higher order data workflows this framework can produce.

Data scientists and analysts will learn how to perform a wide range of techniques, from writing MapReduce and Spark applications with Python to using advanced modeling and data management with Spark MLlib, Hive, and HBase. You'll also learn about the analytical processes and data systems available to build and empower data products that can handle-and actually require-huge amounts of data.

Availability
#
Information Technology 006.2/BEN/IT0742
IT0742
Available
Detail Information
Series Title
-
Call Number
006.2/BEN/IT0742
Publisher
Mumbai : Shroff Publishers & Distributors Pvt.Ltd.,
Collation
-
Language
English
ISBN/ISSN
978-93-5213-374-1
Classification
NONE
Content Type
-
Media Type
-
Carrier Type
-
Edition
First Edition
Subject(s)
IT
Data Analytics
Specific Detail Info
-
Statement of Responsibility
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No other version available

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