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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 Build a modern, full-stack web application using Spring Boot and Vuex

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788836968
Length 590 pages
Edition 1st Edition
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Author (1):
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James J. Ye James J. Ye
Author Profile Icon James J. Ye
James J. Ye
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Table of Contents (17) Chapters Close

Preface 1. Modern Web Application Development - This Is a New Era FREE CHAPTER 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 16. Other Books You May Enjoy

Goals of data modeling


As we mentioned at the beginning of this chapter, data modeling is an essential step in the creation of an application. It is the step that you don't want to skip. Even in a project where you don't want to create any other documents, data models should still be one that is worth the investment of your time and effort.

So, what do we want to archive with data modeling? Let's talk about this before starting data modeling for the TaskAgile application.

Completeness

The first goal of data modeling is to achieve completeness in covering the requirements of an application. However, this doesn't mean that we need all of the requirements of an application upfront when we start the data modeling, which adopts more of a waterfall way. The data models we design should be able to support the implementing of the features specified in the requirements that are currently available.

And, it also means that during data modeling, we should include those business rules that need to be applied...

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