Network Data Analytics

Description

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. 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