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 what big data is all about and how we can analyze it. We showed the 3 Vs that constitute big data: volume, variety, and velocity. We also covered some ground on the big data stack, including Hadoop, HDFS, and Apache Spark. While learning Spark, we went through some examples of the Spark RDD API and also learned a few useful transformations and actions.

In the next chapter, we will get the first taste of running analytics on big data. For this, we will initially use Spark SQL, a very useful Spark module, to do simple yet powerful analysis of your data and later we will go on to build complex analytic tasks while learning market basket analysis.