Which of the following is a metric associated with Data Warehousing?

Which of the following is a metric associated with Data Warehousing?

• A. Total data storage capacity
• B. Number of queries performed
• C. User satisfaction rating
• D. Speed of data generation

Answer: (B)

The metric associated with Data Warehousing is the number of queries performed. This metric is significant because it reflects how often users access and utilize the data stored in the warehouse. In the context of data warehousing, the primary purpose is to support decision-making by allowing users to perform analytical queries over large datasets. Tracking the number of queries can provide insights into user engagement, the effectiveness of the data warehouse in meeting business needs, and potential areas for optimization, such as improving query performance or refining data structure. While other metrics mentioned, such as total data storage capacity, user satisfaction rating, and speed of data generation, are relevant to the broader context of data management, they do not specifically measure the performance or effectiveness of a data warehouse in terms of query operations. Total data storage capacity focuses on physical resources, user satisfaction rating gauges overall user experience but not the direct performance of the warehouse, and speed of data generation pertains more to data ingestion rather than how data is queried and utilized. Hence, the number of queries performed stands out as the most relevant metric in assessing a data warehouse's operational performance.

The metric associated with Data Warehousing is the number of queries performed. This metric is significant because it reflects how often users access and utilize the data stored in the warehouse. In the context of data warehousing, the primary purpose is to support decision-making by allowing users to perform analytical queries over large datasets. Tracking the number of queries can provide insights into user engagement, the effectiveness of the data warehouse in meeting business needs, and potential areas for optimization, such as improving query performance or refining data structure.

While other metrics mentioned, such as total data storage capacity, user satisfaction rating, and speed of data generation, are relevant to the broader context of data management, they do not specifically measure the performance or effectiveness of a data warehouse in terms of query operations. Total data storage capacity focuses on physical resources, user satisfaction rating gauges overall user experience but not the direct performance of the warehouse, and speed of data generation pertains more to data ingestion rather than how data is queried and utilized. Hence, the number of queries performed stands out as the most relevant metric in assessing a data warehouse's operational performance.