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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 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

The Library database


In Chapter 5, Relational Databases, we created a Library database as an Rdb, using NetBeans Java DB relational database system. The design for that database is shown in Figure 5-2. (The same database could have been built using MySQL or any other Rdb.) Here, we will build a MongoDB database for the same data.

As mentioned previously, the only preliminary design decisions that we have to make are the names of the database itself and its collections. We'll name the database library, and its three collections authors, publishers, and books. These are created in Figure 10-11:

Figure 10-11. Creating a library database

Then, we can insert some date, as shown in Figure 10-12:

Figure 10-12. Inserting documents into the authors collection

Here, we have inserted six documents in the authors collection, representing six authors.

Notice that we have given each document four fields: _id, lname, fname, and yob. The first three are strings and the last is an integer. The _id field values...

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