Guide to NoSQL with Azure Cosmos DB

Work with the massively scalable Azure database service with JSON, C#, LINQ, and .NET Core 2

by Gaston C. Hillar , Daron Yöndem

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Book Description

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.

This open book is licensed under a MIT License. You can download Guide to NoSQL with Azure Cosmos DB ebook for free in PDF format (9.7 MB).

Table of Contents

Chapter 1
Introduction to NoSQL in Cosmos DB
 
Chapter 2
Getting Started with Cosmos DB Development and NoSQL
 
Chapter 3
Writing and Running Queries on NoSQL Document
 
Chapter 4
Building an Application with C#, Cosmos DB, a NoSQL
 
Chapter 5
Working with POCOs, LINQ, and a NoSQL Document
 
Chapter 6
Tuning and Managing Scalability with Cosmos DB
 
Appendix A
Answers
 

Book Details

Subject
Computer Science
Publisher
Packt Publishing
Published
2018
Pages
205
Edition
1
Language
English
ISBN13 Digital
9781789612899
ISBN10 Digital
1789612896
PDF Size
9.7 MB
License
MIT License

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