Data Factory Expands Data Flow Parameterization Capabilities
Published date: December 16, 2019
Azure Data Factory expands parameterization capabilities to make data flows even more reusable and scalable. Now you can scale your data flow activities on-the-fly in your pipelines with configurable activity settings. Adjust the number of cores and compute type applied to your data flow activities with parameterized settings on every execution.
With string interpolation, you can now inline column names, expressions, and parameters in double-quotes to make it super easy to construct string values, like those used in dynamic source queries:
"select * from {$tablename} where orderyear > {$year}"