The process of streamlining data to minimize redundancy and awkward many-to-many relationships is called:
A)normalization.
B)data scrubbing.
C)data cleansing.
D)data administration.

Question

Quizplus · Accepted Answer

The process described is normalization, which is a technique used in database design to organize data in a way that minimizes redundancy and eliminates the update and deletion anomalies that arise from awkward many-to-many relationships. Data scrubbing and data cleansing refer to processes of identifying and correcting or removing inaccurate, incomplete, or irrelevant data, while data administration encompasses a broader set of activities involved in managing the data resources of an organization.

The Process of Streamlining Data to Minimize Redundancy and Awkward