What is a common use of active transformations in DTS?

What is a common use of active transformations in DTS?

• A. Changing data formats without altering row counts
• B. Filtration of data without losing any records
• C. Aggregating and summarizing data
• D. Modifying the number of rows processed

Answer: (D)

Active transformations are an essential aspect of Data Transformation Services (DTS), specifically designed to modify the data as it is being processed. The primary characteristic of active transformations is that they can change the number of rows being output compared to the number of rows input. For example, when you filter data, you might remove some rows, or when you combine data from multiple sources, you might create new rows based on the input data. In contrast, passive transformations manage the data in a way that preserves the row count, like changing data formats or simple data type conversions. Other common functions of passive transformations include data type conversions and changing data formats, without modifying the original set of rows. Therefore, the correct answer emphasizes the defining feature of active transformations—their ability to modify the number of rows processed, which can be important when performing operations that lead to the creation of new rows or the elimination of existing ones based on specific criteria. This is crucial in scenarios where the data set necessitates adjustments based on business needs.

Active transformations are an essential aspect of Data Transformation Services (DTS), specifically designed to modify the data as it is being processed. The primary characteristic of active transformations is that they can change the number of rows being output compared to the number of rows input. For example, when you filter data, you might remove some rows, or when you combine data from multiple sources, you might create new rows based on the input data.

In contrast, passive transformations manage the data in a way that preserves the row count, like changing data formats or simple data type conversions. Other common functions of passive transformations include data type conversions and changing data formats, without modifying the original set of rows.

Therefore, the correct answer emphasizes the defining feature of active transformations—their ability to modify the number of rows processed, which can be important when performing operations that lead to the creation of new rows or the elimination of existing ones based on specific criteria. This is crucial in scenarios where the data set necessitates adjustments based on business needs.