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You're reading from Big Data Analytics with Java

Product typeBook

Published inJul 2017

Reading LevelIntermediate

PublisherPackt

ISBN-139781787288980

Edition1st Edition

Languages

Java

Tools

Apache Spark Hadoop

Concepts

Big Data

Author (1)

RAJAT MEHTA

Chapter 11. Massive Graphs on Big Data

Graph theory is one of the most important and interesting concepts in computer science. Graphs have been implemented in real life in a lot of use cases. If you use a GPS on your phone or a GPS device and it shows you driving directions to a place, behind the scenes, there is an efficient graph that is working for you to give you the best possible directions. In a social network, you are connected to your friends and your friends are connected to other friends, and so on. This is a massive graph running in production in all the social networks that you use. You can send messages to your friends, follow them, or get followed, all in this graph. Social networks or a database storing driving directions all involve massive amounts of data, and this is not data that can be stored on a single machine; instead, this is distributed across a cluster of thousands of nodes or machines. This massive data is nothing but big data and, in this chapter, we will learn...

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Big Data Analytics with Java

Published in: Jul 2017Publisher: PacktISBN-13: 9781787288980

Author (1)

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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Chapter 11. Massive Graphs on Big Data

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