adplus-dvertising
frame-decoration

Question

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

a.

Result sets involving a single customer or product

b.

Result sets involving raw unprocessed data

c.

Result sets with large numbers of table rows

d.

Result sets comprising a variety of combinations of individual fact table rows

Answer: (d).Result sets comprising a variety of combinations of individual fact table rows Explanation:Users in data warehouse environments need result sets comprising a variety of combinations of individual fact table rows to perform different forms of analysis.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

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

Similar Questions

Discover Related MCQs

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?

Q. How does the number of values for an attribute affect its suitability for aggregation?

Q. In a hotel chain schema, if the "city" attribute has 25,000 values and "hotel" has 15,000 values, what is the recommendation regarding aggregation?

Q. What is the primary goal of aggregation in a data warehouse environment?

Q. What is a practical approach when designing aggregation strategies in a data warehouse?

Q. What drives the need for summarization and aggregation in a data warehouse?

Q. What does a family of STAR schemas consist of?

Q. What is typically shared among the fact tables in a family of STAR schemas?

Q. In what kind of business would it make sense to have families of STAR schemas consisting of transaction and snapshot schemas?

Q. In which type of business does it make sense to have a schema capturing transaction data that supports strategic decision making and revenue analysis?

Q. What kind of data analysis is primarily supported by a transaction schema?

Q. What kind of questions are typically addressed by a snapshot schema in a telephone company's data warehouse?