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Big Data Analytics with Java

You're reading from Big Data Analytics with Java Data analysis, visualization & machine learning techniques

Product type Paperback

Published in Jul 2017

Publisher Packt

ISBN-13 9781787288980

Length 418 pages

Edition 1st Edition

Languages

Java

Tools

Apache Spark

Concepts

Big Data

Author (1):

RAJAT MEHTA

View More author details

Table of Contents (15) Chapters

Preface

1. Big Data Analytics with Java FREE CHAPTER

2. First Steps in Data Analysis

3. Data Visualization

4. Basics of Machine Learning

5. Regression on Big Data

6. Naive Bayes and Sentiment Analysis

7. Decision Trees

8. Ensembling on Big Data

9. Recommendation Systems

10. Clustering and Customer Segmentation on Big Data

11. Massive Graphs on Big Data

12. Real-Time Analytics on Big Data

13. Deep Learning Using Big Data

Index

Who this book is for

If you already know some Java and understand the principles of big data, this book is for you. This book can be used by a developer who has mostly worked on web programming or any other field to switch into the world of analytics using machine learning on big data.

A good understanding of Java and SQL is required. Some understanding of technologies such as Apache Spark, basic graphs, and messaging will also be beneficial.

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Authors (1)

RAJAT MEHTA

RAJAT MEHTA

The author is a VP (Technical Architect) in technology in JP Morgan Chase in New York. The author is a sun certified java developer and has worked on java related technologies for more than 16 years. Current role for the past few years heavily involves the usage of bid data stack and running analytics on it. Author is also a contributor in various open source projects that are available on his GitHub repository and is also a frequent write on dev magazines.

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