Azure Data Factory Deployment Essentials: A DevOps Approach

سرفصل های دوره

Hands-On Deployment: Mastering Azure Data Factory, Azure Data Lake, and Azure SQL DB with DevOps Practices

1. Introduction

1. Introduction.html

2. Create Azure Account

2. Setting Up Your Dev Infrastructure

1. Define your naming convention-Recommended Naming Components

2. Create Azure SQL DB

3. Create Azure Data Factory And Azure Data Lake G2

4. Configure Our Source Data Base

3. Azure Data Factory Basics

1. Overview Of Azure Data Factory

2. Different Components Of Azure Data Factory And Its Workings

3. How To Create Linked Services

4. How To Create Data Sets

5. Create New Pipeline And Execute Your First ADF Project

4. Introductions To Azure DevOps

1. What is Azure DevOps.html

2. How To Create Azure DevOps Account

3. How To Create New Organizations In Azure DevOps

4. How To Create And Configure New Projects In Azure DevOps

5. Continues Integration - Azure Data Factory-Azure DevOps Integrations

1. Azure Data Factory Azure DevOps integrations

2. Create A New User

3. Grant Access To New User

4. Fix Error

5. Create Pull Request And Integrate All the changes to live

6. Azure Key Vault Secure Our Connections

1. Create Azure Key Vault

2. Create Secrets In Azure Key Vault And Store Connections Details

3. Create Secrets In Azure Key Vault & Store Connections Details

4. Configure Azure Data Factory To Use Azure Key Vault

7. Setting Up Your UAT Infrastructure

1. Create UAT Resources

2. Configure UAT Azure Key Vault Secrets

3. Add New Versions In Azure Key Vault Secrets

4. Configure Azure SQL DB -Northwind Data bases

8. Setting Up Your Prod Infrastructure

1. Create Prod Resources

2. Configure PROD Azure Key Vault Secrets

9. Continues Deployment- Azure Data Factory-Azure DevOps Deployment

1. Grant Azure Data Factory (UAT & Prod) To Access Key Vault And Create ARM templat

2. Create Release Pipeline In Azure DevOps

3. Configure Azure DevOps Artifacts

4. Create And Configure Stage -UAT

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تولید کننده: Udemy