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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

An overview of data classification and data concepts

At some point in the design and implementation of your application, the developer or architect needs to determine the type, format, and location of the data to collect.

Data is a strategic, valuable asset. A holistic approach to data storage and data processing and an openness to new ideas can lead to incredible possibilities for taking applications to a new level and ensuring a stable and organized data stock.

Data is a set of collected information and facts, which can be numbers, character strings, and/or observations, to help us in decision-making. We can classify data into two classes, structured and semi-structured (unstructured):

  • Structured data: This is tabular data that follows a schema, which implies that all data has the same properties, called fields. Structured data can be stored in a database table. To search for data inside a table that shares the same schema, we have query languages such as Structured...
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