adplus-dvertising
frame-decoration

Question

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

a.

Approximately 500,000 times the size of the text fields

b.

A small percentage of the original storage space

c.

A significant reduction in storage space

d.

Double the original storage space

Answer: (b).A small percentage of the original storage space Explanation:The typical net storage space savings achieved by snowflaking is a small percentage of the original storage space.

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

Similar Questions

Discover Related MCQs

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?

Q. What is the effect of sparsity on the number of rows in aggregate fact tables?

Q. What is the primary consideration when determining an aggregation strategy for a data warehouse?

Q. When creating aggregate tables, what can be the effect of the failure of sparsity?

Q. What is a practical goal for designing aggregation strategies in a data warehouse environment?

Q. What should you consider when determining the attributes and combinations for aggregation?