In a recent blog post, Microsoft announced the general availability (GA) of their serverless, code-free Extract-Transform-Load (ETL) capability inside of Azure Data Factory called Mapping Data Flows.

The second major version of Azure Data Factory, Microsoft's cloud service for ETL (Extract, Transform and Load), data prep and data movement, was released to general availability (GA) about two ...

As a professional who has earned the Microsoft Azure certification, Upesh has worked extensively with Azure Data Factory and has developed a deep understanding of how to deploy and configure this ...

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.

A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse data sources with minimal rework.

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).