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© 2018

Network Data Analytics

A Hands-On Approach for Application Development

Book

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

Table of contents

  1. Front Matter
    Pages i-xxv
  2. Introduction to Data Analytics

    1. Front Matter
      Pages 1-1
    2. K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 3-28
    3. K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 29-53
    4. K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 55-72
    5. 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. K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 95-107
    8. K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 109-123
  3. Machine Learning

    1. Front Matter
      Pages 125-125
    2. K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 127-138
    3. K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 139-154
    4. K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 155-175
    5. K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 177-216
  4. Advanced Analytics

    1. Front Matter
      Pages 217-217
    2. K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 219-264
    3. K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 265-281
    4. K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 283-302
    5. K. G. Srinivasa, Siddesh G. M., Srinidhi H.
      Pages 303-318
  5. Data Visualization

    1. Front Matter
      Pages 319-319

About this book

Introduction

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.

Keywords

Hadoop Data Analytics Data Visualization High Performance Computing Machine Learning Algorithms

Authors and affiliations

  1. 1.Department of Information TechnologyCh. Brahm Prakash Government Engineering CollegeJaffarpurIndia
  2. 2.Department of Information Science and EngineeringRamaiah Institute of TechnologyBangaloreIndia
  3. 3.Department of Computer Science and EngineeringRamaiah Institute of TechnologyBangaloreIndia

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
  • Series Abbreviated Title Computer Communications, Networks
  • DOI https://doi.org/10.1007/978-3-319-77800-6
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Hardcover ISBN 978-3-319-77799-3
  • Softcover ISBN 978-3-030-08544-5
  • eBook ISBN 978-3-319-77800-6
  • 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
  • Buy this book on publisher's site
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