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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

Chapter 12. Real-Time Analytics on Big Data

At some point in time we might all have used insurance quotes. To get insurance quotes for a car we fill in the details about us and based on our credit history and other details the application gives you the insurance quotes in real time. This application analyzes your data in real time and based on it predicts the quotes. For years, these applications have followed mostly rule-based approaches with a powerful rule engine running behind the scenes, more recently these applications have started using machine learning to analyze data further and make predictions at that point in time. All these predictions and analysis that happen at that instance or point in time are real-time analytics. Some of the most popular websites, such as Netflix or famous ad networks, are all using real-time analytics and with the coming of new devices as part of the Internet of things or IoT wave, collection and analysis of data in real time has become the...

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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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