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 defining.

Question

Quizplus · Accepted Answer

Normalization is the process of designing a database schema to minimize redundancy and avoid problems like awkward many-to-many relationships. Data scrubbing and data cleansing are related processes of cleaning and preparing data for analysis, but they don't specifically address normalization. Data defining is not a recognized term in database design.

The Process of Streamlining Data to Minimize Redundancy and Awkward