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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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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 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 A. Java Tools Index

Chapter 5. Relational Databases

In Chapter 2, Data Preprocessing, we looked at some standard ways that data is stored. We saw that small unstructured datasets are often stored as text files, using white space, tabs, or commas to separate the data fields. Small, structured datasets are better handled by formats such as XML and JSON.

A database is a large, usually structured data collection that is accessed by an independent software system.

In this chapter, we will look at relational databases and the relational database systems that manage them. In Chapter 10, Working with NoSQL Databases, we will examine non-relational databases.

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