How does the update transformation work?

How does the update transformation work?

• A. It creates new records in a dataset
• B. It updates specified field values based on another dataset
• C. It deletes old records from the dataset
• D. It archives the dataset for future use

Answer: (B)

The update transformation functions by modifying existing records in a dataset rather than creating new ones, deleting records, or archiving data. Specifically, it allows users to change specific field values of existing records based on conditions or matching information found in another dataset. This is particularly useful when there's a need to refresh or correct data to ensure consistency and accuracy within a data model. By referencing another dataset, the update transformation identifies the records that require modification and applies specified changes accordingly, enhancing data integrity and reliability for analytical purposes.

The update transformation functions by modifying existing records in a dataset rather than creating new ones, deleting records, or archiving data. Specifically, it allows users to change specific field values of existing records based on conditions or matching information found in another dataset. This is particularly useful when there's a need to refresh or correct data to ensure consistency and accuracy within a data model. By referencing another dataset, the update transformation identifies the records that require modification and applies specified changes accordingly, enhancing data integrity and reliability for analytical purposes.