What is a recommended practice for data view queries to improve performance?

What is a recommended practice for data view queries to improve performance?

• A. Query all data without time limits.
• B. Increase the date range to 6 months.
• C. Limit to no more than 30 days.
• D. Avoid data views entirely.

Answer: (C)

When querying Data Views, the amount of data you scan drives performance. Filtering by a limited time window reduces the number of rows the query must process, which speeds things up and uses fewer resources. That’s why limiting to no more than 30 days is a practical approach: you get the needed data faster and avoid lengthy executions. Running without a time limit would force the system to scan all historical data, leading to slower queries or timeouts; widening the range to six months increases the workload even more; and avoiding data views altogether misses data you’d otherwise analyze. A 30-day limit keeps queries efficient while still providing meaningful insight.

When querying Data Views, the amount of data you scan drives performance. Filtering by a limited time window reduces the number of rows the query must process, which speeds things up and uses fewer resources. That’s why limiting to no more than 30 days is a practical approach: you get the needed data faster and avoid lengthy executions. Running without a time limit would force the system to scan all historical data, leading to slower queries or timeouts; widening the range to six months increases the workload even more; and avoiding data views altogether misses data you’d otherwise analyze. A 30-day limit keeps queries efficient while still providing meaningful insight.