Azure Data Factory OAuth2 Token Authentication Process Explained

To authenticate with Azure Data Factory, you need to obtain an OAuth2 token, which is a JSON Web Token (JWT) that grants access to your Azure resources.

This token is obtained through the Azure AD (Azure Active Directory) v2 endpoint, which is a centralized authentication service provided by Microsoft.

The OAuth2 token is used to authenticate your Azure Data Factory pipeline, allowing it to access your Azure resources securely.

In Azure Data Factory, you can use the OAuth2 token to authenticate with Azure services such as Azure Blob Storage, Azure SQL Database, and Azure Cosmos DB.

Azure offers a wide range of services that can be used to create and manage data pipelines.

Azure Data Factory is one of these services, allowing users to create, schedule, and manage data pipelines.

You can use Azure Data Factory to connect to various data sources, including Azure Blob Storage, Azure SQL Database, and more.

Azure Data Factory also supports OAuth2 token-based authentication, which enables secure access to data sources.

This allows you to integrate Azure Data Factory with other Azure services, such as Azure Active Directory.

Azure Data Factory can be used to create data pipelines that are scalable, reliable, and secure.

A stored procedure is a subroutine available to applications that access a relational database management system. It can be used to perform a specific task, such as updating a field in a database table.

The stored procedure in Azure Services can be created like a subroutine. For example, a stored procedure can be created to update a field with a specific name in a database table.

In this case, the AccessToken variable in ADF is used to update the field with this name in the eol_authorization table. This is done by calling the stored procedure that was created.

Execution Types are a crucial consideration when working with Azure Services. Asynchronous execution is the default method, where you trigger a refresh but don't know the final status. You get a response from the REST API call, but it's not until later that you'll know if the refresh was successful.

There are two main types of execution to consider: Asynchronous and Synchronous. Asynchronous execution is the norm for most REST APIs, including Azure Data Factory pipelines.

Here's a breakdown of the two types:

Synchronous execution comes with a cost, though: you'll need to pay more for your Azure Data Factory pipelines.