Book Image

Mobile Development with .NET - Second Edition

By : Can Bilgin
Book Image

Mobile Development with .NET - Second Edition

By: Can Bilgin

Overview of this book

Are you a .NET developer who wishes to develop mobile solutions without delving into the complexities of a mobile development platform? If so, this book is a perfect solution to help you build professional mobile apps without leaving the .NET ecosystem. Mobile Development with .NET will show you how to design, architect, and develop robust mobile applications for multiple platforms, including iOS, Android, and UWP using Xamarin, .NET Core, and Azure. With the help of real-world scenarios, you'll explore different phases of application development using Xamarin, from environment setup, design, and architecture to publishing. Throughout the book, you'll learn how to develop mobile apps using Xamarin 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 Active Directory, Azure Functions. As you advance, you'll create data stores using popular database technologies such as Cosmos DB and data models such as the relational model and NoSQL. By the end of this mobile application development book, you'll be able to create cross-platform mobile applications that can be deployed as cloud-based PaaS and SaaS.
Table of Contents (25 chapters)
1
Section 1: Understanding .NET
5
Section 2: Xamarin and Xamarin.Forms
9
Section 3: Azure Cloud Services
14
Section 4: Advanced Mobile Development
18
Section 5: Application Life Cycle Management

Data access models

Probably the most important option to select before creating the Cosmos DB instance is the access model (that is, the API). In our application, we will be using the SQL API since it is inherently the only native access model and allows the usage of additional features such as triggers. This is why the SQL API will be the first access model that we will dive into in this section. Nevertheless, we will also go over the Mongo API, which can provide a viable alternative with its strong community support as well as the mitigated risk of vendor-lock. Other options that will be discussed in this section include Gremlin, Cassandra, and Azure Table Storage.

The SQL API

Previously a standalone offer known as Azure Document DB, the SQL API allows developers to query a JSON-based NoSQL data structure with a SQL dialect. Similar to actual SQL implementations, the SQL API supports the use of stored procedures, triggers (that is, change feeds), and user-defined functions...