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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
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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 (14) Chapters Close

Preface 1. Introduction to Data Analysis 2. Data Preprocessing FREE CHAPTER 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 A. Java Tools Index

Summary

This chapter presents some of the ideas and algorithms involved in the analysis of very large datasets. The two main algorithms are Google's PageRank algorithm and the MapReduce framework.

To illustrate how MapReduce works, we have implemented the WordCount example, which counts the frequencies of the words in a collection of text files. The more realistic implementation would be with MongoDB, which is presented in Chapter 10, NoSQL Databases, or in Apache Hadoop, which is briefly described in this chapter.

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