Export and Deploy using ARM in Azure Datafactory
Azure Data Factory (ADF) is a fully managed, serverless data integration solution for ingesting, preparing, and transforming all your data at scale. It enables every organization in every industry to use it for a rich variety of use cases: data Engineering, migrating their on-premises SSIS packages to Azure, operational data integration, analytics, ingesting data into data warehouses, and more.
Azure Resource Manager templates (ARM templates) is a JavaScript Object Notation (JSON) file that defines the infrastructure and configuration for your project. The template uses declarative syntax, which lets you state what you intend to deploy without having to write the sequence of programming commands to create it. In the template, you specify the resources to deploy and the properties for those resources.
0:00 - Overview
0:20 - Introduction
2:26 - ARM template
5:20 - Deploying template
8:19 - Debugging
9:50 - Summary
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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.