Book Image

Java Data Analysis

By : John R. Hubbard
Book Image

Java Data Analysis

By: John R. Hubbard

Overview of this book

Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the aim of discovering useful information. Java is one of the most popular languages to perform your data analysis tasks. This book will help you learn the tools and techniques in Java to conduct data analysis without any hassle. After getting a quick overview of what data science is and the steps involved in the process, you’ll learn the statistical data analysis techniques and implement them using the popular Java APIs and libraries. Through practical examples, you will also learn the machine learning concepts such as classification and regression. In the process, you’ll familiarize yourself with tools such as Rapidminer and WEKA and see how these Java-based tools can be used effectively for analysis. You will also learn how to analyze text and other types of multimedia. Learn to work with relational, NoSQL, and time-series data. This book will also show you how you can utilize different Java-based libraries to create insightful and easy to understand plots and graphs. By the end of this book, you will have a solid understanding of the various data analysis techniques, and how to implement them using Java.
Table of Contents (20 chapters)
Java Data Analysis
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Index

Foreign keys


A foreign key in a database table is a field whose values are required to match corresponding primary key values, usually in another table. In the database defined previously, we would specify the foreign key Departments.Director to reference the primary key Employees.ID. So, for example, the Director of Data Analysis has the ID 15584, which identifies John Baker in Table 5-1.

Note that once a foreign key is designated in a table, no row may be added to it unless that key value matches an existing primary key value in the referenced table. Every row in the Departments table must have a Director value that matches an existing ID value in the Employees table.

When a foreign key in table A references a primary key in table B, we call A the child table and B the parent table. In this example, the Departments table is the child and the Employees table is the parent. Every child (Departments.Director) must have a parent (Employees.ID), and the parent must exist before the child exists...