adplus-dvertising
frame-decoration

Question

What is the primary benefit of using a snowflake schema in data warehousing?

a.

Improved query performance

b.

Simplified data modeling

c.

Reduced dimension table size

d.

Enhanced fact table design

Answer: (a).Improved query performance Explanation:The primary benefit of using a snowflake schema is improved query performance.

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 benefit of using a snowflake schema in data warehousing?

Similar Questions

Discover Related MCQs

Q. In a classic STAR schema, where is the fact table typically located in relation to dimension tables?

Q. In a data warehouse, why might you consider partially or fully normalizing dimension tables?

Q. When a user runs a query constraining only on product category, what is the advantage of indexing the product dimension table on product category?

Q. What is the primary reason for snowflaking dimension tables in a data warehouse?

Q. What is the typical net storage space savings achieved by snowflaking when the dimension table contains long text fields?

Q. What is one of the disadvantages of snowflaking in a data warehouse?

Q. In a data warehouse environment, what takes the highest significance, making snowflaking generally not recommended?

Q. In data warehousing, what is the primary principle behind snowflaking?

Q. When forming subdimensions in a data warehouse, what is one valid reason for separating out specific attributes into another table?

Q. What are aggregate fact tables in data warehousing?

Q. In data warehousing, what is the primary difference between queries run in an operational system and those run in a data warehouse environment?

Q. Which of the following queries would likely run the fastest in a data warehouse without using aggregate fact tables?

Q. When might aggregate fact tables be most helpful in improving query performance in a data warehouse?

Q. In a typical data warehouse, what is the main reason for needing detailed data at the lowest level of granularity in the base fact tables?

Q. In a grocery chain data warehouse with 300 stores, 40,000 products, and daily sales data, what is the maximum number of base fact table records at the lowest level of granularity?

Q. When running queries in a data warehouse environment, which type of result sets do users typically need?

Q. What is the primary advantage of using aggregate fact tables in data warehousing?

Q. What is the primary purpose of aggregate fact tables in a data warehouse?

Q. In the context of aggregate fact tables, what are "one-way aggregates"?

Q. What is the purpose of forming two-way aggregate fact tables in a data warehouse?