Your question is Analyze Large Dataset Trends in SQL. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Excel can become slow and error-prone when working with datasets above 100,000 rows. In SQL-based analytics workflows, candidates are expected to explain how they would identify trends directly in the database instead of relying on spreadsheet tooling.
Explain how you would analyze trends in a large dataset using SQL when the raw data is too large for comfortable analysis in Excel. Your answer should cover:
Keep the discussion focused on practical SQL analysis for large tables in PostgreSQL. The interviewer is looking for clear reasoning, common query patterns, and awareness of performance and data-quality considerations rather than advanced optimization details.