Integrating Code repo with Azure Data Factory

Azure Data Factory is the platform that solves such data scenarios. It is the cloud-based ETL and data integration service that allows you to create data-driven workflows for orchestrating data movement and transforming data at scale. Using Azure Data Factory, you can create and schedule data-driven workflows (called pipelines) that can ingest data from disparate data stores. You can build complex ETL processes that transform data visually with data flows or by using compute services such as Azure HDInsight Hadoop, Azure Databricks, and Azure SQL Database.

Azure Data Factory allows you to configure a Git repository with either Azure Repos or GitHub. Git is a version control system that allows for easier change tracking and collaboration. This video will outline how to configure and work in a git repository along with highlighting best practices and a troubleshooting guide.

0:00 - Overview
0:44 - Utility of Azure Datafactory
1:43 - Introduction
2:34 - Setting up source code repository
7:40 - Summary

This is one of my lecture from the course published in Infrasity, if you are looking for Databricks Introductory course, you may purchase the course:

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Azure Devops :

Github Actions:

Vault:

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🔵 Why should you opt for an Azure data factory course ?

It allows organizations to create data-driven workflows in the cloud for orchestrating and automating data movement and for data transformation. By using leveraging Azure Data Factory, the casino can create and schedule pipelines, or data-driven workflows, that can ingest data from different data stores.