This article discusses the data flow formatters, Flatten, Parse, and Stringify, which can be useful when dealing with JSON data.
This article covers how you can give access with a shared key to Azure Storage Accounts and apply a policy for how users can access the files.
Learn about using Mapping Data Flows in Azure Data Factory.
Learn how to protect production resources from accidental changes in Azure Data Factory.
Introduction In this article, we will talk about a newly introduced activity in Azure Data Factory, which is the fail activity. The fail activity is very useful to stop or fail the pipeline at the specified point. For example, a lookup activity might return no data or a switch activity executes the default block. We […]