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Guide to NoSQL with Azure Cosmos DB

You're reading from   Guide to NoSQL with Azure Cosmos DB Work with the massively scalable Azure database service with JSON, C#, LINQ, and .NET Core 2

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789612899
Length 214 pages
Edition 1st Edition
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Authors (2):
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Gaston C. Hillar Gaston C. Hillar
Author Profile Icon Gaston C. Hillar
Gaston C. Hillar
Daron Yöndem Daron Yöndem
Author Profile Icon Daron Yöndem
Daron Yöndem
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Table of Contents (9) Chapters Close

Preface 1. Introduction to NoSQL in Cosmos DB 2. Getting Started with Cosmos DB Development and NoSQL Document Databases FREE CHAPTER 3. Writing and Running Queries on NoSQL Document Databases 4. Building an Application with C#, Cosmos DB, a NoSQL Document Database, and the SQL API 5. Working with POCOs, LINQ, and a NoSQL Document Database 6. Tuning and Managing Scalability with Cosmos DB 7. Answers 8. Other Books You May Enjoy

Creating models and customizing serialization


So far, we have been working with dynamic objects and we wrote SQL queries in strings without taking advantage of the beloved LINQ features. Now we will create a new version of the application that will use POCOs to represent the competitions. This way, we will be able to use strongly typed properties and work with LINQ to build queries instead of composing queries with strings.

Whenever we have to persist a document in the document database, the C# object that represents the document will be serialized to a JSON document; that is, it will be encoded in a string. Whenever we have to retrieve a document from the document database, the JSON document will be deserialized to the C# object that represents the document; that is, the object will be built from the string.

Note

One of the key benefits of working with Cosmos DB, its .NET Core SDK, and a document database based on the SQL API is that we don't have to use an Object-Relational Mapping (ORM)...

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