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Java Data Analysis

You're reading from   Java Data Analysis Data mining, big data analysis, NoSQL, and data visualization

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781787285651
Length 412 pages
Edition 1st Edition
Languages
Concepts
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Author (1):
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John R. Hubbard John R. Hubbard
Author Profile Icon John R. Hubbard
John R. Hubbard
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Table of Contents (20) Chapters Close

Java Data Analysis
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
1. Introduction to Data Analysis FREE CHAPTER 2. Data Preprocessing 3. Data Visualization 4. Statistics 5. Relational Databases 6. Regression Analysis 7. Classification Analysis 8. Cluster Analysis 9. Recommender Systems 10. NoSQL Databases 11. Big Data Analysis with Java Java Tools Index

Chapter 11. Big Data Analysis with Java

"In pioneer days they used oxen for heavy pulling, and when one ox couldn't budge a log, they didn't try to grow a larger ox. We shouldn't be trying for bigger computers, but for more systems of computers."

– Grace Hopper (1906-1992)

The term big data generally refers to algorithms for the storage, retrieval, and analysis of massive datasets that are too large to be managed by a single file server. Commercially, these algorithms were pioneered by Google. Two of their early benchmark algorithms, PageRank and MapReduce, are among those considered in this chapter.

Note

The word "googol" was coined by the nine-year-old nephew of the American mathematician Edward Kasner in the 1930s. The word was meant to stand for 10100. At that time, it had been estimated that the number of particles in the universe was about 1080. Kasner later coined the additional word "googolplex" to stand...

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