Which Data Flow transformation should you use?

You are designing a SQL Server Integration Services (SSIS) data flow to load sales
transactions from a source system into a data warehouse hosted on Windows Azure SQL
Database. One of the columns in the data source is named ProductCode.
Some of the data to be loaded will reference products that need special processing logic in
the data flow.
You need to enable separate processing streams for a subset of rows based on the source
product code.
Which Data Flow transformation should you use?

You are designing a SQL Server Integration Services (SSIS) data flow to load sales
transactions from a source system into a data warehouse hosted on Windows Azure SQL
Database. One of the columns in the data source is named ProductCode.
Some of the data to be loaded will reference products that need special processing logic in
the data flow.
You need to enable separate processing streams for a subset of rows based on the source
product code.
Which Data Flow transformation should you use?

A.
Multicast

B.
Conditional Split

C.
Script Task

D.
Data Conversion

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Donk

Donk

Script task is not available in a Dataflow. Right answer is B

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Slazenjer_m

Slazenjer_m

Even if Script task were to be available in the Data Flow designer, the correct choice for above scenario is still gonna be Conditional Split!!

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Pete

Pete

And even if it wasn’t available. The correct answer is B….@Slazenjer….what are you trying to say here???

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