Azure Data Factory Mapping data flows are visually designed data transformations in Azure Data Factory. Data flows allow data engineers to develop graphical data transformation logic without writing code. Support Azure Data Explorer can be done (till it will be supported as one of the destinations ) in the following steps
1. Define mapping data flow
2. Export the data into Azure Blob
3. Define Event Grid or ADF Copy Activity to ingest the data to Azure Data Explorer

Learn more about Azure Data Explorer (Kusto):
- Azure Data Explorer
- Documentation
- Course – Basics of KQL
- Query explorer
- Azure Portal
- User Voice
- Cost Estimator
- ADX End to End Lab
Join us to share questions, thoughts, or ideas about Azure Data Explorer (Kusto) and receive answers from the diverse and knowledgeable Azure Data Explorer community.
Azure Data Explorer product team
“Join the conversation on the Azure Data Explorer community”.