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 ...

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

Azure Functions 2.0 can also run in more environments, such as locally on a Mac or Linux machine, and developers can write functions using an IDE like Visual Studio, VS Code, or VS for Mac.

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).