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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 Data Factory

ADF is an Azure cloud-based data integration service, a Platform-as-a-Service (PaaS) solution that allows you to orchestrate and automate data movement and data transformation. Data integration is the process of combining data from multiple sources and providing an integrated view of it.

ADF allows you to define and schedule data pipelines so that you can transfer and transform data. You can integrate your pipelines with other Azure services, making it easy for you to integrate data from cloud data stores. You can also process data using cloud-based compute resources and keep the results in another data store.

ADF is serverless, which means that you only pay for what you use.

With ADF, we can bring data into a common format. We can generate new insights we’d probably never have by keeping this data separately.

ADF is enterprise data ready because it has almost 90 different data connectors where we don’t need to use a server. It...

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