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


In this chapter, we covered six basic types of charts, namely, Time Series charts, bar charts, line charts, histograms, and scatter plots. These charts are extensively used in the data exploration phase to help us better understand our data. Visually understanding our data this way can help us easily figure out anomalies in our dataset and give us insights into our data that we can later put to use for making predictions on new data. Each chart can be used for specific needs such as:

  • Time Series charts show us how our data changes with respect to time

  • Bar charts show us the trends in our data and histograms help us find the density of our data

  • Box charts help us find the minimum, maximum, median values in our numerical data, and also help us figure out the outlier points

  • Scatter plots help us figure out patterns in our data or how our data points are concentrated

Java provides us with various open source libraries that we can put to use for making these charts. One such popular library...