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Navigating Query Profile

Harbr's data engineering team is investigating how Snowflake executed an aggregation query against logistics.shipments_large. Your job is to open the Query Profile and use the Statistics panel to understand how much data Snowflake had to read to return the results. This kind of visibility helps the team spot inefficient queries before they become costly in production.

⚠️ Can't select a database, or getting a "table not found" error?

Use the table's full path in your FROM clause. Get it from the left panel: Databases tab → expand your COURSE_… database → select the table → Copy name.

This exercise is part of the course

Data Pipeline Automation in Snowflake

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