Network Data Analytics

✍ Scribed by K. G. Srinivasa, Siddesh G. M., Srinidhi H.

Publisher: Springer International Publishing
Year: 2018
Tongue: English
Leaves: 406
Series: Computer Communications and Networks
Edition: 1st ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xxv
Front Matter ....Pages 1-1
Introduction to Data Analytics (K. G. Srinivasa, Siddesh G. M., Srinidhi H.)....Pages 3-28
Hadoop (K. G. Srinivasa, Siddesh G. M., Srinidhi H.)....Pages 29-53
Apache Hive (K. G. Srinivasa, Siddesh G. M., Srinidhi H.)....Pages 55-72
Apache Spark (K. G. Srinivasa, Siddesh G. M., Srinidhi H.)....Pages 73-83
Pig (K. G. Srinivasa, Siddesh G. M., Srinidhi H.)....Pages 85-94
Apache Flume (K. G. Srinivasa, Siddesh G. M., Srinidhi H.)....Pages 95-107
Storm (K. G. Srinivasa, Siddesh G. M., Srinidhi H.)....Pages 109-123
Front Matter ....Pages 125-125
Basics of Machine Learning (K. G. Srinivasa, Siddesh G. M., Srinidhi H.)....Pages 127-138
Regression (K. G. Srinivasa, Siddesh G. M., Srinidhi H.)....Pages 139-154
Classification (K. G. Srinivasa, Siddesh G. M., Srinidhi H.)....Pages 155-175
Other Analytical Techniques (K. G. Srinivasa, Siddesh G. M., Srinidhi H.)....Pages 177-216
Front Matter ....Pages 217-217
Text Analytics (K. G. Srinivasa, Siddesh G. M., Srinidhi H.)....Pages 219-264
Internet of Things and Analytics (K. G. Srinivasa, Siddesh G. M., Srinidhi H.)....Pages 265-281
Advanced Analytics with TensorFlow (K. G. Srinivasa, Siddesh G. M., Srinidhi H.)....Pages 283-302
Recommendation Systems (K. G. Srinivasa, Siddesh G. M., Srinidhi H.)....Pages 303-318
Front Matter ....Pages 319-319
Introduction to Data Visualization (K. G. Srinivasa, Siddesh G. M., Srinidhi H.)....Pages 321-331
Getting Started with Visualization in Python (K. G. Srinivasa, Siddesh G. M., Srinidhi H.)....Pages 333-337
Visualization Charts (K. G. Srinivasa, Siddesh G. M., Srinidhi H.)....Pages 339-359
Advanced Visualization (K. G. Srinivasa, Siddesh G. M., Srinidhi H.)....Pages 361-383
Back Matter ....Pages 385-398

✦ Subjects

Computer Science; Data Mining and Knowledge Discovery; Big Data; Visualization; Artificial Intelligence (incl. Robotics)

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