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Java Data Analysis

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

Product type Paperback

Published in Sep 2017

Publisher Packt

ISBN-13 9781787285651

Length 412 pages

Edition 1st Edition

Languages

Java

Tools

RapidMiner

Concepts

Big Data

Author (1):

John R. Hubbard

View More author details

Table of Contents (14) Chapters

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

MySQL Workbench

We will be creating and accessing our MySQL databases by two different methods: by running our own independent Java programs and through a user interface tool named MySQL Workbench.

To download and install MySQL Workbench, go back to https://dev.mysql.com/downloads/ and select MySQL Workbench. Select your platform and click on the Download button. Then, run the installer.

In the window that comes up, drag the MsSQLWorkbench.app icon to the right, into the Applications folder:

MySQL Workbench

Figure A-14. Installing MySQL Workbench

After a few seconds, the app's icon will appear in the Applications folder. Launch it, and affirm that you want to open it:

MySQL Workbench

Figure A-15. Running the MySQL Workbench installer

Note that one connection is defined: localhost:3306 with the user root. The number 3306 is the port through which the connection is made.

Now that we have MySQL Workbench installed, we can test it. The main window for the app is shown in Figure A-16.

MySQL Workbench

Figure A-16. The MySQL Workbench main window...

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Authors (1)

John R. Hubbard

John R. Hubbard

John R. Hubbard has been doing computer-based data analysis for over 40 years at colleges and universities in Pennsylvania and Virginia. He holds an MSc in computer science from Penn State University and a PhD in mathematics from the University of Michigan. He is currently a professor of mathematics and computer science, Emeritus, at the University of Richmond, where he has been teaching data structures, database systems, numerical analysis, and big data. Dr. Hubbard has published many books and research papers, including six other books on computing. Some of these books have been translated into German, French, Chinese, and five other languages. He is also an amateur timpanist.

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