DEEP DIVE AZURE MODUE 6 | AZURE DATA FACTORY | LINKED SERVICES | ACTIVITIES IN ADF

In this training video, we have given an introduction to Azure Data Factory and the various components used in it.

We'll begin with an Introduction to Azure Data Factory. You'll gain a solid understanding of what ADF is, its primary purpose, and how it fits into your data workflow. We'll explore its benefits and the reasons why it's a game-changer for data orchestration in the cloud.

Moving on, we'll delve into the Components of Azure Data Factory. This section will cover all the essential building blocks that make up ADF, including Pipelines, Datasets, Linked Services, and Activities. You'll learn how these components interact and collaborate to enable seamless data movement and transformation.

Next, we'll take an in-depth look at Pipelines, Datasets, Linked Services, and Activities in ADF. We'll cover each component individually, exploring their functionalities, configurations, and best practices. By the end of this section, you'll be confident in designing and implementing efficient data pipelines that suit your specific business needs.

Timestamps:
0:00:00 What is Azure Data Factory
0:03:54 Why Azure Data Factory
0:06:39 Key features of ADF
0:07:54 Creating an Azure Data Factory
0:13:08 Components of Azure Data Factory
0:23:15 Creating a linked service
0:28:13 Creating a dataset
0:46:26 Activities in ADF

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