Question
a.
Simplifies data storage by merging all metrics into one table
b.
Allows for better tracking and analysis of specific products or services
c.
Reduces the number of dimension tables required
d.
Eliminates the need for a core fact table
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 primary advantage of using core and custom tables in a data warehouse for businesses with diverse products and services?
Similar Questions
Discover Related MCQs
Q. In a manufacturing business, what are the typical steps through which a product travels before becoming finished goods?
View solution
Q. What is the primary purpose of creating STAR schemas for different steps in a value chain in a business?
View solution
Q. In a healthcare institution, what kind of structure is often observed when adding value to patient services?
View solution
Q. What are some units that may be part of the value circle of a large health maintenance organization?
View solution
Q. What are conformed dimensions in the context of data warehousing?
View solution
Q. What is a key requirement for dimensions to be considered conformed in a data warehouse?
View solution
Q. What is one of the key requirements for standardizing facts in data warehousing?
View solution
Q. Which of the following is an example of a type of fact that needs to be standardized?
View solution
Q. What is the purpose of using conformed dimensions in a data warehouse?
View solution
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
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!
