Book Image

Big Data Analytics with Java

Book Image

Big Data Analytics with Java


Overview of this book

This book covers case studies such as sentiment analysis on a tweet dataset, recommendations on a movielens dataset, customer segmentation on an ecommerce dataset, and graph analysis on actual flights dataset. This book is an end-to-end guide to implement analytics on big data with Java. Java is the de facto language for major big data environments, including Hadoop. This book will teach you how to perform analytics on big data with production-friendly Java. This book basically divided into two sections. The first part is an introduction that will help the readers get acquainted with big data environments, whereas the second part will contain a hardcore discussion on all the concepts in analytics on big data. It will take you from data analysis and data visualization to the core concepts and advantages of machine learning, real-life usage of regression and classification using Naïve Bayes, a deep discussion on the concepts of clustering,and a review of simple neural networks on big data using deepLearning4j or plain Java Spark code. This book is a must-have book for Java developers who want to start learning big data analytics and want to use it in the real world.
Table of Contents (21 chapters)
Big Data Analytics with Java
About the Author
About the Reviewers
Customer Feedback
Free Chapter
Big Data Analytics with Java
Ensembling on Big Data
Real-Time Analytics on Big Data

Data visualization with Java JFreeChart

JFreeChart is a popular open source chart library built in Java. It's used in various other open source projects as well such as JasperReports (open source reporting framework). You can build a number of popular charts such as pie charts, time series charts, and bar charts to visualize your data with this library.

JFreeChart builds the axis and legends in the charts and provides automatic features such as zooming into the charts with your mouse. For simple chart visualizations that the developer can use to build the models (using lesser data) JFreeChart is good but for extensive data visualization that you need to ship to your customers or end users you are better off with an elaborate data visualization product such as Tableau or QlikView over big data. Although we will cover some of the charts from JFreeChart, this chapter is by no means an extensive take on JFreeChart.

For this book and its examples, we use these charts extensively for visualizing...