For processing the data, ADF v2 can use Azure Batch, Data Lake Analytics (U-SQL), HDInsight, Databricks or Machine Learning Services. And while all of these are Azure services, they deliver a ...

In response to developer feedback, Microsoft is taking a page from the growing visual, low-code development approach to simplify Big Data analytics in the cloud with Azure Data Factory. The new visual ...

Bindings in Azure Functions decouple the code from the data source or destination, and by packing them as extensions, Microsoft further decouples them.

Locking down AI pipelines in Azure? A zero-trust, metadata-driven setup makes it secure, scalable and actually team-friendly.

In “ Designing a metadata-driven ETL framework with Azure ADF: An architectural perspective,” I laid the groundwork for a scalable, metadata-driven ETL framework using Azure Data Factory (ADF).