Question
a.
To introduce variations in dimension definitions
b.
To create dimension tables exclusive to one fact table
c.
To ensure the same dimension definitions and terminology across data marts
d.
To resolve discrepancies and conflicts within dimensions
Posted under Data Warehousing and OLAP
Engage with the Community - Add Your Comment
Confused About the Answer? Ask for Details Here.
Know the Explanation? Add it Here.
Q. What is the purpose of using conformed dimensions in a data warehouse?
Similar Questions
Discover Related MCQs
Q. What is a key consideration for standardizing facts in data warehousing?
View solution
Q. Which type of dimension change involves corrections to the data in a data warehouse?
View solution
Q. Type 1 changes for slowly changing dimensions relate to correction of errors.
View solution
Q. To apply type 3 changes of slowly changing dimensions, overwrite the attribute value in the dimension table row with the new value.
View solution
Q. Large dimensions usually have multiple hierarchies.
View solution
Q. The STAR schema is a normalized version of the snowflake schema.
View solution
Q. Aggregates are precalculated summaries.
View solution
Q. The percentage of sparsity of the base table tends to be higher than that of aggregate tables.
View solution
Q. The fact tables of the STARS in a family share dimension tables.
View solution
Q. Core and custom fact tables are useful for companies with several lines of service.
View solution
Q. Conforming dimensions are not absolutely necessary in a data warehouse.
View solution
Q. A value circle usually needs a family of STARS to support the business.
View solution
Suggested Topics
Are you eager to expand your knowledge beyond Data Warehousing and OLAP? We've curated a selection of related categories that you might find intriguing.
Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!
