Название: Network Data Analytics: A Hands-On Approach for Application Development Автор: K.G. Srinivasa, Siddesh G.M., Srinidhi H. Издательство: Springer International Publishing Год: 2018 ISBN: 9783319778006 Серия: Computer Communications and Networks Формат: epub, pdf Страниц: XXV, 398 Размер: 14 mb Язык: English
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.
Introduction to Data Analytics Srinivasa, K. G. (et al.) Pages 3-28
Hadoop Srinivasa, K. G. (et al.) Pages 29-53
Apache Hive Srinivasa, K. G. (et al.) Pages 55-72
Apache Spark Srinivasa, K. G. (et al.) Pages 73-83
Pig Srinivasa, K. G. (et al.) Pages 85-94
Apache Flume Srinivasa, K. G. (et al.) Pages 95-107
Storm Srinivasa, K. G. (et al.) Pages 109-123
Basics of Machine Learning Srinivasa, K. G. (et al.) Pages 127-138
Regression Srinivasa, K. G. (et al.) Pages 139-154
Classification Srinivasa, K. G. (et al.) Pages 155-175
Other Analytical Techniques Srinivasa, K. G. (et al.) Pages 177-216
Text Analytics Srinivasa, K. G. (et al.) Pages 219-264
Internet of Things and Analytics Srinivasa, K. G. (et al.) Pages 265-281
Advanced Analytics with TensorFlow Srinivasa, K. G. (et al.) Pages 283-302
Recommendation Systems Srinivasa, K. G. (et al.) Pages 303-318
Introduction to Data Visualization Srinivasa, K. G. (et al.) Pages 321-331
Getting Started with Visualization in Python Srinivasa, K. G. (et al.) Pages 333-337
Visualization Charts Srinivasa, K. G. (et al.) Pages 339-359
Advanced Visualization Srinivasa, K. G. (et al.) Pages 361-383
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