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Building Applications with Spring 5 and Vue.js 2

Building Applications with Spring 5 and Vue.js 2

By : J. Ye
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Building Applications with Spring 5 and Vue.js 2

Building Applications with Spring 5 and Vue.js 2

By: J. Ye

Overview of this book

Building Applications with Spring 5 and Vue.js 2, with its practical approach, helps you become a full-stack web developer. As well as knowing how to write frontend and backend code, a developer has to tackle all problems encountered in the application development life cycle – starting from the simple idea of an application, to the UI and technical designs, and all the way to implementation, testing, production deployment, and monitoring. With the help of this book, you'll get to grips with Spring 5 and Vue.js 2 as you learn how to develop a web application. From the initial structuring to full deployment, you’ll be guided at every step of developing a web application from scratch with Vue.js 2 and Spring 5. You’ll learn how to create different components of your application as you progress through each chapter, followed by exploring different tools in these frameworks to expedite your development cycle. By the end of this book, you’ll have gained a complete understanding of the key design patterns and best practices that underpin professional full-stack web development.
Table of Contents (17 chapters)
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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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