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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

2. First Steps in Data Analysis FREE CHAPTER

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

Refresher on graphs

In this section, we will cover some of the basic concepts of graphs; this is supposed to be a refresher section on graphs. This is a basic section; hence, if you already know this information, you can skip this section. Graphs are used in many important concepts in our day-to-day lives. Before we dive into the ways of representing a graph, let's look at some of the popular use cases of graphs (though this is not a complete list):

Graphs are used heavily in social networks
In finding driving directions via GPS
In many recommendation engines
In fraud detection in many financial companies
In search engines and in network traffic flows
In biological analysis

As you must have noted earlier, graphs are used in many applications that we might be using on a daily basis.

Graphs are a form of a data structure in computer science that help in depicting entities and the connection between them. So, if there are two entities, such as Airport A and Airport B and they are connected by...

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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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