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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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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

Exploring non-relational data concepts in Azure

When we start building a new application, we need to think about how to store data. This usually takes the form of a relational database, where data is organized in linked tables and managed using SQL. However, many applications don’t need the rigid structure of a relational database; we can use non-relational storage (commonly known as NoSQL).

Let’s explore some characteristics of non-relational data. Non-relational data doesn’t follow the rules of relational data. In its native form, data can be loaded quickly. If you have unknown data or queries, non-relational data will be more flexible and better than relational data, but it is less good for known data structures and known queries.

Entities have highly variable structures. For example, in a medical appointment database that stores information about patients, a patient can have more than a telephone number, landline, and mobile number. They can add multiple...

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