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Big Data Analytics with Java

You're reading from Big Data Analytics with Java Data analysis, visualization & machine learning techniques

Product type Paperback

Published in Jul 2017

Publisher Packt

ISBN-13 9781787288980

Length 418 pages

Edition 1st Edition

Languages

Java

Tools

Apache Spark

Concepts

Big Data

Author (1):

RAJAT MEHTA

View More author details

Table of Contents (21) Chapters

Big Data Analytics with Java

Credits

About the Author

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

1. Big Data Analytics with Java

2. First Steps in Data Analysis FREE CHAPTER

3. Data Visualization

4. Basics of Machine Learning

5. Regression on Big Data

6. Naive Bayes and Sentiment Analysis

7. Decision Trees

8. Ensembling on Big Data

9. Recommendation Systems

10. Clustering and Customer Segmentation on Big Data

11. Massive Graphs on Big Data

12. Real-Time Analytics on Big Data

13. Deep Learning Using Big Data

Index

Advanced visualization technique

For advanced data visualization, commercial tools such as Tableau or FusionCharts can be used. These are very good in making dashboards and reports that can be used by businesses in their presentations or demos. In fact, for business needs, specifically for presentations or demos, we would urge the users to go with commercial tools such as Tableau or FusionCharts as they can be used to make very good reports and presentations. However, if you have specific advanced charting needs such as making three-dimensional charts or creating graphs or trees in Java, we can use advanced Java charting libraries such as Prefuse or VTK Graph toolkits.

Note

Covering these advanced libraries in detail is beyond the scope of this book. Hence, we will only give specific brief outline on these libraries. Readers who are interested in these libraries can refer to their specific websites for more information.

Prefuse

This is an open source set of tools that is used for creating rich...

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Authors (1)

RAJAT MEHTA

RAJAT MEHTA

The author is a VP (Technical Architect) in technology in JP Morgan Chase in New York. The author is a sun certified java developer and has worked on java related technologies for more than 16 years. Current role for the past few years heavily involves the usage of bid data stack and running analytics on it. Author is also a contributor in various open source projects that are available on his GitHub repository and is also a frequent write on dev magazines.

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