Final answer:
Field extractions provide a way of normalizing data over any default field.
Step-by-step explanation:
The correct answer is Field extractions.
Field extractions in data normalization involve isolating certain fields or values from a larger dataset to create a consistent format. This helps in organizing and analyzing data more efficiently.
For example, in a dataset that includes customer information, field extractions can be used to isolate the customer's name, email address, and phone number into separate fields to make the data more manageable.