
ADF Data Flow Metadata Functions Explained
A key feature of Azure Data Factory’s data flows is the ability to inspect and manipulate metadata as well as processing and transforming the data cell values. ADF enables cloud-scale ETL data transformations with data flows, meaning that you can leverage these built-in metadata functions for data introspection for powerful solutions. In this post, I’ll talk about 3 such examples that will allow you to perform these complex data engineering tasks at scale with zero code: Transform data conditionally based on metadata traits Create data quality rules Manipulate column properties of source data Transform data conditionally based on metadata traits … Continue reading ADF Data Flow Metadata Functions Explained