Network data analytics : a hands-on approach for application development /

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Bibliographic Details
Author / Creator:Srinivasa, K. G., author.
Imprint:Cham, Switzerland : Springer, 2018.
Description:1 online resource (xxv, 398 pages) : illustrations (some color)
Language:English
Series:Computer communications and networks, 1617-7975
Computer communications and networks,
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11654544
Hidden Bibliographic Details
Other authors / contributors:G. M., Siddesh, author.
H., Srinidhi, author.
ISBN:9783319778006
3319778005
9783319777993
3319777998
Digital file characteristics:text file
PDF
Notes:Includes bibliographical references and index.
Online resource; title from PDF title page (SpringerLink, viewed May 1, 2018).
Summary:In order to carry out data analytics, we need powerful and flexible computing software. However the software available for data analytics is often proprietary and can be expensive. This book reviews Apache tools, which are open source and easy to use. After providing an overview of the background of data analytics, covering the different types of analysis and the basics of using Hadoop as a tool, it focuses on different Hadoop ecosystem tools, like Apache Flume, Apache Spark, Apache Storm, Apache Hive, R, and Python, which can be used for different types of analysis. It then examines the different machine learning techniques that are useful for data analytics, and how to visualize data with different graphs and charts. Presenting data analytics from a practice-oriented viewpoint, the book discusses useful tools and approaches for data analytics, supported by concrete code examples. The book is a valuable reference resource for graduate students and professionals in related fields, and is also of interest to general readers with an understanding of data analytics.
Other form:Print version: Srinivasa, K.G. Network data analytics. Cham, Switzerland : Springer, 2018 3319777998 9783319777993
Standard no.:10.1007/978-3-319-77800-6
10.1007/978-3-319-77