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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 Azure Table Storage

Azure Table Storage provides support for storing structured data. It implements a NoSQL key-value model, which means that it doesn’t have any concept of relationships, stored procedures, secondary indexes, or foreign keys.

Azure Table Storage is not the only service you can use to work with semi-structured data. So, why use this service instead of other options? Let’s start by listing the benefits:

  • Azure Table Storage can store petabytes of data at a low cost, which is really important when it comes to building highly scalable applications where thousands or even millions of users interact with them.
  • Azure Table Storage also supports a flexible data schema, which is excellent for flexible datasets, such as web applications, user data, device information, and metadata. The flexible data schema allows you to modify application data models without having to stick to a particular schema.
  • You can also quickly query data by using...
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