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A Developer's Guide to Building Resilient Cloud Applications with Azure

You're reading from   A Developer's Guide to Building Resilient Cloud Applications with Azure Deploy applications on serverless and event-driven architecture using a cloud database

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Product type Paperback
Published in Feb 2023
Publisher Packt
ISBN-13 9781804611715
Length 296 pages
Edition 1st Edition
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Author (1):
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Hamida Rebai Hamida Rebai
Author Profile Icon Hamida Rebai
Hamida Rebai
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: Building Cloud-Oriented Apps Using Patterns and Technologies
2. Chapter 1: Introduction to Serverless Architecture, Event-Driven Architecture, and Cloud Databases FREE CHAPTER 3. Chapter 2: API Management – Import, Manage, and Publish Your First API 4. Chapter 3: Developing Event-Based and Message-Based Solutions 5. Part 2: Connecting Your Application with Azure Databases
6. Chapter 4: Creating and Deploying a Function App in Azure 7. Chapter 5: Develop an Azure Service Fabric Distributed Application 8. Chapter 6: Introduction to Application Data 9. Chapter 7: Working with Azure SQL Database 10. Chapter 8: Working with Azure Storage 11. Chapter 9: Working with Azure Cosmos DB to Manage Database Services 12. Chapter 10: Big Data Storage Overview 13. Part 3: Ensuring Continuous Integration and Continuous Container Deployment on Azure
14. Chapter 11: Containers and Continuous Deployment on Azure 15. Assessments 16. Index 17. Other Books You May Enjoy

Summary

In this chapter, we learned how to create an Azure Cosmos DB account, and we created a database and container using Data Explorer. We explored the different API models, such as Core (SQL), which is recommended for new applications, the Azure Cosmos DB API for MongoDB, Cassandra, Azure Table Storage, and Gremlin (Graph). We created resources by using the Microsoft .NET SDK v3. We connected the application to an Azure Cosmos DB account using the endpoint and the primary key. We used CosmosClient to create a database, create a container, and retrieve data from a document. We also connected Azure App Service with Azure Cosmos DB.

In the next chapter, we will explore big data storage. We will define Azure Data Lake Storage and learn how to create a more secure, high-performance framework for data analytics. If you need more information related to Cosmos DB, you can check out this link: https://learn.microsoft.com/en-us/azure/cosmos-db/introduction.

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