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

Summary


In this chapter, we provisioned a Cosmos DB account with the SQL API, and we created a document database and a collection. Then, we populated the collection with JSON documents and we understood the system-generated keys that Cosmos DB adds to a document resource. We ended up with a collection, containing documents with different structures, because we took advantage of the schema-agnostic feature of Cosmos DB.

We used the web-based Azure portal to perform the different tasks, and then we learned how to take advantage of screen real estate with Azure Cosmos DB Explorer. We worked with the Azure Storage Explorer GUI tool and we learned how to work with the Azure Cosmos DB Emulator to develop and test applications without being billed for the storage, request units, and bandwidth consumed.

Now that we have created our first Cosmos DB SQL API database, collection, and document, and we have explored the available tools, we will learn about building and running queries and taking advantage...