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Network Data Analytics

A Hands-On Approach for Application Development

  • Book
  • © 2018

Overview

Authors:
  1. K. G. Srinivasa

    1. Department of Information Technology, Ch. Brahm Prakash Government Engineering College, Jaffarpur, India

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  2. Siddesh G. M.

    1. Department of Information Science and Engineering, Ramaiah Institute of Technology, Bangalore, India

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  3. Srinidhi H.

    1. Department of Computer Science and Engineering, Ramaiah Institute of Technology, Bangalore, India

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  • Introduces tools for data analytics, machine learning for data analytics, and for exploring and visualizing data
  • Suitable as both a practical guide and a reference for researchers and students
  • Provides supplementary material, in the form of working source code, on an associated website
  • Includes supplementary material: sn.pub/extras

Part of the book series: Computer Communications and Networks (CCN)

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Table of contents (19 chapters)

  1. Front Matter

    Pages i-xxv
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  2. Introduction to Data Analytics

    1. Front Matter

      Pages 1-1
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    2. Introduction to Data Analytics

      • K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 3-28

    3. Hadoop

      • K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 29-53

    4. Apache Hive

      • K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 55-72

    5. Apache Spark

      • K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 73-83

    6. Pig

      • K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 85-94

    7. Apache Flume

      • K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 95-107

    8. Storm

      • K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 109-123

  3. Machine Learning

    1. Front Matter

      Pages 125-125
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    2. Basics of Machine Learning

      • K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 127-138

    3. Regression

      • K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 139-154

    4. Classification

      • K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 155-175

    5. Other Analytical Techniques

      • K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 177-216

  4. Advanced Analytics

    1. Front Matter

      Pages 217-217
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    2. Text Analytics

      • K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 219-264

    3. Internet of Things and Analytics

      • K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 265-281

    4. Advanced Analytics with TensorFlow

      • K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 283-302

    5. Recommendation Systems

      • K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 303-318

  5. Data Visualization

    1. Front Matter

      Pages 319-319
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Keywords

About this book

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.


Reviews

https://github.com/srinidhi151/Book

Authors and Affiliations

  • Department of Information Technology, Ch. Brahm Prakash Government Engineering College, Jaffarpur, India

    K. G. Srinivasa

  • Department of Information Science and Engineering, Ramaiah Institute of Technology, Bangalore, India

    Siddesh G. M.

  • Department of Computer Science and Engineering, Ramaiah Institute of Technology, Bangalore, India

    Srinidhi H.

About the authors

Dr. Krishnarajanagar GopalaIyengar Srinivasa is an associate professor and the head of the Department of IT at C.B.P. Government Engineering College, Jaffarpur, New Delhi, India. His other publications include the Springer book Guide to High Performance Distributed Computing.
 
Dr. Gaddadevara Matt Siddesh is an associate professor at the Department of Information Science and Engineering at Ramaiah Institute of Technology, Bangalore, India.
 
Srinidhi Hiriyannaiah is an assistant professor at the Department of Computer Science and Engineering at Ramaiah Institute of Technology, Bangalore, India.

Bibliographic Information

  • Book Title: Network Data Analytics

  • Book Subtitle: A Hands-On Approach for Application Development

  • Authors: K. G. Srinivasa, Siddesh G. M., Srinidhi H.

  • Series Title: Computer Communications and Networks

  • DOI: https://doi.org/10.1007/978-3-319-77800-6

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing AG 2018

  • Hardcover ISBN: 978-3-319-77799-3Published: 14 May 2018

  • Softcover ISBN: 978-3-030-08544-5Published: 26 December 2018

  • eBook ISBN: 978-3-319-77800-6Published: 26 April 2018

  • Series ISSN: 1617-7975

  • Series E-ISSN: 2197-8433

  • Edition Number: 1

  • Number of Pages: XXV, 398

  • Number of Illustrations: 38 b/w illustrations, 117 illustrations in colour

  • Topics: Data Mining and Knowledge Discovery, Big Data, Visualization, Artificial Intelligence

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