Pro Ember Data: Getting Ember Data to Work with Your API - Softcover

Tang, David

Softcover

ISBN 10: 1484265602 ISBN 13: 9781484265604

Publisher: Apress, 2020

Synopsis

Learn how to work with Ember Data efficiently, from APIs, adapters, and serializers to polymorphic relationships, using your existing JavaScript and Ember knowledge. This book will teach you how to adapt Ember Data to fit your custom API.

Have a custom API that you aren't sure how to use with Ember Data? Interested in writing your own adapter or serializer? Want to just know more about how Ember Data works? This is the Ember Data book you have been waiting for.

Lots of books and tutorials start off teaching Ember with Ember Data. This is great, especially if you are in control of your API, but what if you aren't? You do a little research and start seeing terminology like adapters, serializers, transforms, and snapshots, and quickly become overwhelmed. Maybe you've thought to yourself that Ember isn't for you. Well, if this sounds familiar, then this book is for you. 

What You'll Learn 

• Review the differences between normalization and serialization
• Understand how the built-in adapters and serializers in Ember Data work
• Customize adapters and serializers to consume any API and write them from scratch
• Handle API errors in Ember Data
• Work with the Reddit API using Ember Data
• Learn how to use polymorphic relationships

Who This Book Is For

Anyone with an interest in learning more about Ember Data and how to adapt it to any API. People who read this book should be familiar with the basics of Ember and JavaScript.

About this title

About the Author

David Tang is a Software Engineer from Los Angeles with over 10 years of working experience in web development. His software career has led him to work with companies of all sizes and use many different technologies on both the back-end and front-end for building web applications. Ultimately he found his passion on the front-end in building applications with rich user experiences. He has worked with several JavaScript frameworks, but was drawn to Ember because of the community's values in convention over configuration, developer testing, and the commitment to providing an upgrade path for new major releases. He values the framework's opinionated way of working with APIs and managing data in a client-side JavaScript application with its companion library Ember Data. Since David was introduced to Ember, he has spent a lot of time blogging, teaching, and building applications with Ember and Ember Data. David is also an adjunct faculty member at the University of Southern California, teaching web development courses.

From the Back Cover

Learn how to work with Ember Data efficiently, from APIs, adapters, and serializers to polymorphic relationships, using your existing JavaScript and Ember knowledge. This book will teach you how to adapt Ember Data to fit your custom API.

Have a custom API that you aren't sure how to use with Ember Data? Interested in writing your own adapter or serializer? Want to just know more about how Ember Data works? This is the Ember Data book you have been waiting for.

Lots of books and tutorials start off teaching Ember with Ember Data. This is great, especially if you are in control of your API, but what if you aren't? You do a little research and start seeing terminology like adapters, serializers, transforms, and snapshots, and quickly become overwhelmed. Maybe you've thought to yourself that Ember isn't for you. Well, if this sounds familiar, then this book is for you. 

You will:

• Review the differences between normalization and serialization
• Understand how the built-in adapters and serializers in Ember Data work
• Customize adapters and serializers to consume any API and write them from scratch
• Handle API errors in Ember Data
• Work with the Reddit API using Ember Data
• Learn how to use polymorphic relationships

Edition details

• Publisher: Apress
• Publication date: 2020
• Language: English
• ISBN 10: 1484265602
• ISBN 13: 9781484265604
• Binding: Paperback
• Edition number: 1
• Number of pages: 208