Question

Which one of the following best describes a Transform Map? 1. Matches columns from the data source to columns in the target table 2. Determines which data source columns are important for the import 3. Imports date fields when there is a format mismatch 4. Uses scripts to remove or correct records that were mistakenly imported 5. Matches columns from the staging table to columns in the target table

Answer 1

A Transform Map is best described as a mechanism that matches columns from the staging table to columns in the target table during data import processes. The option 1 is correct.

Step-by-step explanation:

In the context of data import processes, Transform Maps play a crucial role in guaranteeing the accurate and efficient transfer of data from one table, typically a temporary staging table, to another table—the designated target within the system for data importation.

These maps encompass the mapping of various attributes, including column names and data types, ensuring seamless alignment between the source and target tables.

Moreover, Transform Maps may involve the application of business logic or adherence to specific system requirements, facilitating the transformation of data as needed.

This preparatory step is essential for ensuring that the data is not only correctly mapped but also aligned with the business rules and structural specifications of the target table.

Essentially, Transform Maps serve as a bridge, orchestrating the harmonious and accurate flow of data from its origin to its intended destination within the system.

Hence, the option 1 is correct, a Transform Map is best described as a mechanism that matches columns from the staging table to columns in the target table during data import processes.