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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

Massive graphs on big data

Big data comprises a huge amount of data distributed across a cluster of thousands (if not more) of machines. Building graphs based on this massive data has different challenges. Due to the vast amount of data involved, the data for the graph is distributed across a cluster of machines. Hence, in actuality, it's not a single node graph, and we have to build a graph that spans across a cluster of machines. A graph that spans across a cluster of machines would have vertices and edges spread across different machines, and this data in a graph won't fit into the memory of one single machine. Consider your friend's list on Facebook; some of your friend's data in your Facebook friend list graph might lie on different machines, and this data may just be tremendous in size. Look at an example diagram of a graph of 10 Facebook friends and their network, shown as follows:

Massive graphs on big data

As you can see in the preceding diagram, for just 10 friends the data can be huge...

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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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