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Data Factory Expands Data Flow Parameterisation Capabilities

Published date: 16 December, 2019

Azure Data Factory expands parameterisation 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 parameterised 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}"

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  • Data Factory
  • Features

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