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

Time Series chart

This is a simple chart used for measuring events over time or in other words it is a series of statistical observations that are recorded over time. Visualizing your data this way would help you figure out how the data changes with respect to time in the past and you can also make predictions regarding the values that might occur in the future when time changes. Let's now see some sample Time Series charts in action.

Before giving examples of time series charts, let's understand the dataset used for the time series chart examples.

All India seasonal and annual average temperature series dataset

In this dataset, we have India's seasonal temperature captured on monthly/annual basis from 1901 to 2015. The dataset is downloaded as a JSON file from You can also find the sample dataset in the GitHub code accompanied with this book.

This dataset comprises two json objects as shown next:

  • Fields: This...