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Update concepts-data-flow-expression-builder.md
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articles/data-factory/concepts-data-flow-expression-builder.md

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ms.reviewer: daperlov
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ms.service: data-factory
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ms.topic: conceptual
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ms.date: 12/9/2019
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ms.date: 04/08/2020
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# Build expressions in mapping data flow
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In mapping data flow, many transformation properties are entered as expressions. These expressions are composed of column values, parameters, functions, operators, and literals that evaluate to a Spark data type at run time.
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> [!VIDEO https://www.microsoft.com/en-us/videoplayer/embed/RE4tkur]
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## Open Expression Builder
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The expression editing interface in the Azure Data Factory user experience is known as Expression Builder. As you enter your expression logic, Data Factory uses [IntelliSense](https://docs.microsoft.com/visualstudio/ide/using-intellisense?view=vs-2019) code completion for highlighting, syntax checking, and autocompleting.

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