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

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.


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.


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