Network data analytics : a hands-on approach for application development / K.G. Srinivasa, Siddesh G.M., Srinidhi H.
Srinivasa, K. G., author.; G. M., Siddesh, author.; H., Srinidhi, author.
2018
QA76.9.D5
Available Online

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Title Network data analytics : a hands-on approach for application development / K.G. Srinivasa, Siddesh G.M., Srinidhi H.
Author Srinivasa, K. G., author.
ISBN 9783319778006 (electronic book)
3319778005 (electronic book)
9783319777993
3319777998
DOI https://doi.org/10.1007/978-3-319-77800-6
Published Cham, Switzerland : Springer, 2018.
Language English
Description 1 online resource (xxv, 398 pages) : illustrations.
Item Number 10.1007/978-3-319-77800-6 doi
Call Number QA76.9.D5
Dewey Decimal Classification 004.6
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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed May 1, 2018).
Added Author G. M., Siddesh, author.
H., Srinidhi, author.
Series Computer communications and networks.
Available in Other Form Network data analytics.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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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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