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Building Applications with Spring 5 and Vue.js 2

You're reading from  Building Applications with Spring 5 and Vue.js 2

Product type Book
Published in Oct 2018
Publisher Packt
ISBN-13 9781788836968
Pages 590 pages
Edition 1st Edition
Languages
Author (1):
James J. Ye James J. Ye
Profile icon James J. Ye

Table of Contents (23) Chapters

Title Page
Copyright and Credits
Dedication
About Packt
Contributors
Preface
1. Modern Web Application Development - This Is a New Era 2. Vue.js 2 - It Works in the Way You Expected 3. Spring 5 - The Right Stack for the Job at Hand 4. TaskAgile - A Trello-like Task Management Tool 5. Data Modeling - Designing the Foundation of the Application 6. Code Design - Designing for Stability and Extensibility 7. RESTful API Design - Building Language Between Frontend and Backend 8. Creating the Application Scaffold - Taking off Like a Rocket 9. Forms and Validation - Starting with the Register Page 10. Spring Security - Making Our Application Secure 11. State Management and i18n - Building a Home Page 12. Flexbox Layout and Real-Time Updates with WebSocket - Creating Boards 13. File Processing and Scalability - Playing with Cards 14. Health Checking, System Monitoring - Getting Ready for Production 15. Deploying to the Cloud with Jenkins - Ship It Continuously 1. Other Books You May Enjoy Index

Chapter 5. Data Modeling - Designing the Foundation of the Application

Data models are the foundation of an application. Getting them right at the beginning is much easier than changing the foundation later because, at the design stage, all of the changes you need to make can be done with papers and pencils. On the other hand, making a change to data models during the implementation of the application usually involves modifying all of the code through each layer of the application, and as we mentioned before that changes are unavoidable, building good data models can help you make those changes much easier.

In this chapter, we will design the data models of the TaskAgile application, and you will learn the following:

  • The basics of data modeling
  • The goals of doing data modeling
  • Conceptual data modeling with ER diagrams
  • Logical data modeling
  • Physical data modeling for RDBMS
  • Physical data modeling for MongoDB
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