Fact tables are which of the following?

Solution(By Examveda Team)

In the context of data warehousing and database design, fact tables are typically structured to be completely denormalized. Denormalization is a process where data is intentionally organized in a way that reduces or eliminates the need for joins between tables, often at the expense of redundancy. This is done to improve query performance in data warehousing environments, where analytical queries are common.

Here's an explanation of the other options:

Option B: Partially denormalized doesn't accurately describe fact tables. While some degree of denormalization may occur, the term "completely denormalized" is a more appropriate characterization.

Option C: Completely normalized is not typically the case for fact tables in data warehousing. Normalization involves minimizing data redundancy by organizing data into separate tables based on relationships, which is the opposite of what is done in a fact table.

Option D: Partially normalized also doesn't accurately describe fact tables. Fact tables are intentionally denormalized for performance reasons, so "completely denormalized" is the more suitable term.

So, the correct answer is Option A: Completely denormalized. Fact tables in data warehousing are often structured in a way that optimizes query performance, even if it means duplicating data to reduce the need for complex joins.