Book Image

Hands-On Mobile Development with .NET Core

By : Can Bilgin
Book Image

Hands-On Mobile Development with .NET Core

By: Can Bilgin

Overview of this book

.NET Core is the general umbrella term used for Microsoft’s cross-platform toolset. Xamarin, used for developing mobile applications, is one of the app model implementations for .NET Core infrastructure. In this book, you'll learn how to design, architect, and develop attractive, maintainable, and robust mobile applications for multiple platforms, including iOS, Android, and UWP, with the toolset provided by Microsoft using Xamarin, .NET Core, and Azure Cloud Services. This book will take you through various phases of application development using Xamarin, from environment setup, design, and architecture to publishing, with the help of real-world scenarios. Throughout the book, you'll learn how to develop mobile apps using Xamarin, Xamarin.Forms, and .NET Standard. You'll even be able to implement a web-based backend composed of microservices with .NET Core using various Azure services including, but not limited to, Azure App Services, Azure Active Directory, Notification Hub, Logic Apps, Azure Functions, and Cognitive Services. The book then guides you in creating data stores using popular database technologies such as Cosmos DB, SQL, and Realm. Finally, you will be able to set up an efficient and maintainable development pipeline to manage the application life cycle using Visual Studio App Center and Visual Studio Services.
Table of Contents (26 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Data access patterns


So far, we have defined various data stores that will be used within the client boundaries as a secondary source of data to help with offline scenarios, as well as when  network connectivity is problematic. This way, the user interface does not appear blank—or worse, goes into an infinite loading loop. Instead, a previous version of the dataset is displayed to the user immediately while remote retrieval takes place.

Before we can dive into the different architectural patterns to coordinate the local and remote data, let's try to describe the meaning of coordination by means of identifying the types of data that we have in our application. According to the life cycle and entropy of the specific data element, we can categorize the data types into the following groups:

  • Transient data: These data elements will constantly be changing and the local storage should be continuously invalidated. When dealing with this data type, the application should first load the local cache...