Network Data Analytics A Hands-On Approach for Application Development

Network Data Analytics A Hands-On Approach for Application Development / by K. G. Srinivasa, Siddesh G. M., Srinidhi H.

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...

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Bibliographic Details
Main Authors: Srinivasa, K. G. (Author), G. M., Siddesh (Author), H., Srinidhi (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Computer Communications and Networks,
Springer eBook Collection.
Subjects:
Data mining.
Big data.
Mathematics.
Visualization.
Artificial intelligence.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Part I: Data Analytics and Hadoop
  • Chapter 1. Introduction to Data Analytics
  • Chapter 2. Introduction to Hadoop
  • Chapter 3. Data Analytics with Map Reduce
  • Part II: Tools for Data Analytics
  • Chapter 4. Apache Pig
  • Chapter 5. Apache Hive
  • Chapter 6. Apache Spark
  • Chapter 7. Apache Flume
  • Chapter 8. Apache Storm
  • Chapter 9. Python R
  • Part III: Machine Learning for Data Analytics
  • Chapter 10. Basics of Machine Learning
  • Chapter 11. Linear Regression
  • Chapter 12. Logistic Regression
  • Chapter 13. Machine Learning on Spark
  • Part IV: Exploring and Visualizing Data
  • Chapter 14. Introduction to Visualization
  • Chapter 15. Principles of Data Visualization
  • Chapter 16. Visualization Charts
  • Chapter 17. Popular Visualization Tools
  • Chapter 18. Data Visualization with Hadoop
  • Part V: Case Studies
  • Chapter 19. Product Recommendation
  • Chapter 20. Market Basket Analysis.

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