Book Image

Guide to NoSQL with Azure Cosmos DB

By : Gaston C. Hillar, Daron Yöndem
Book Image

Guide to NoSQL with Azure Cosmos DB

By: Gaston C. Hillar, Daron Yöndem

Overview of this book

Cosmos DB is a NoSQL database service included in Azure that is continuously adding new features and has quickly become one of the most innovative services found in Azure, targeting mission-critical applications at a global scale. This book starts off by showing you the main features of Cosmos DB, their supported NoSQL data models and the foundations of its scalable and distributed architecture. You will learn to work with the latest available tools that simplify your tasks with Cosmos DB and reduce development costs, such as the Data Explorer in the Azure portal, Microsoft Azure Storage Explorer, and the Cosmos DB Emulator. Next, move on to working with databases and document collections. We will use the tools to run schema agnostic queries against collections with the Cosmos DB SQL dialect and understand their results. Then, we will create a first version of an application that uses the latest .NET Core SDK to interact with Cosmos DB. Next, we will create a second version of the application that will take advantage of important features that the combination of C# and the .NET Core SDK provides, such as POCOs and LINQ queries. By the end of the book, you will be able to build an application that works with a Cosmos DB NoSQL document database with C#, the .NET Core SDK, LINQ, and JSON.
Table of Contents (13 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

Chapter 1. Introduction to NoSQL in Cosmos DB

In this chapter, we will start our journey toward developing applications that work with a globally distributed, massively scalable, and multi-model database service provided by Microsoft: Azure Cosmos DB. We will focus on a high-level technical overview of this innovative database service.

Modern applications that take advantage of Azure and other cloud platforms usually require working with massive amounts of data that might be organized in different ways. In addition, these applications require elastic scale out of storage and throughput. We might start with a few gigabytes, but we can end up with many petabytes in months. Our application can start working with most clients in California, but it might expand its clients in Germany, Switzerland, and Norway in the near future. Of course, our application will be continuously evolving and we will have to store more data related to each performed operation based on the new requirements. In this chapter, we will understand why Cosmos DB is an excellent candidate to be used as a database service in these kinds of applications.

In this chapter, we will cover the following:

  • Making the paradigm shift to the NoSQL way 
  • Learning about the main features of Cosmos DB
  • Understanding the supported NoSQL data models
  • Using the appropriate API for each data model
  • Diving deep into the Cosmos DB resource model
  • Understanding the system topology
  • Learning about the resource hierarchy for each container