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Azure Data Factory Cookbook
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Modern organizations are operating in a fast-paced environment. It is important to deliver insights faster and have shorter analytics iterations. Moreover, Azure found that many organizations have similar use cases for their modern cloud analytics deployments. As a result, Azure built a number of predefined templates. For example, if you have data in Amazon S3 and you want to copy it into Azure Data Lake, you can find a specific template for this operation; or say you want to move an on-premises Oracle data warehouse to the Azure Synapse Analytics data warehouse – you are covered with ADF templates.
ADF provides us with templates in order to accelerate data engineering development. In this recipe, we will review the common templates and see how to use them.
We will find and review an existing template using Data Factories: