Question

Data Quality Transformations cannot be directly connected to the upstream transform, which contains nested tables. To connect these transform you should add a query transform or XML pipeline transform between transformation from nested table and data quality transform

Answer 1

The student's question involves the need to flatten or simplify data structures with nested tables using a query transform or XML pipeline transform before applying data quality transformations in a data ETL workflow.

Step-by-step explanation:

The question pertains to the process of data transformation in the context of handling nested tables during data quality operations within a data integration or ETL (extract, transform, load) workflow. When dealing with nested tables, it is important to flatten or simplify the data structure before passing data to data quality transformations. This is typically done by inserting an intermediary transform, like a query transform or an XML pipeline transform, which can restructure the data from the nested tables into a format that is compatible for subsequent data quality processing. To connect transformations from nested tables to data quality transform, one cannot connect them directly; instead, these intermediary transforms serve as a bridge to ensure the data flow preserves integrity and meets the requirements of the data quality tools.