Master the art of translating business logic into robust, verifiable database queries through analytical intent framework.
SELECT user_id, SUM(amount) AS total_spent
FROM orders
INNER JOIN users ON orders.user_id = users.id
WHERE status = 'Active'
GROUP BY user_id;
-> Hash Aggregate (user_id)
-> Hash Join (orders.user_id = users.id)
-> Filter (users.status = 'Active')
-> Seq Scan on users
-> Seq Scan on orders
Basics
Introduction to the concept of query intent and why it matters more than syntax.
Read Guide
Basics
How to translate a vague business request into a precise analytical question.
Read Guide
Basics
Establishing row granularity before writing any joins or aggregations.
Read Guide
Cases
Reviewing the assumptions made when joining multiple source tables.
Read Guide
Cases
Understanding how WHERE clauses can inadvertently alter the core business question.
Read Guide
Basics
Identifying the root causes of duplicate rows and what they mean for data integrity.
Read Guide
Cases
Key questions to ask when reviewing SUM, AVG, and COUNT logic.
Read Guide
Basics
A comprehensive checklist for handing off queries to other engineers.
Read Guide
Cases
Interpreting NULLs and missing records in the context of the business question.
Read Guide
Cases
Mitigating risks when results are interpreted by downstream stakeholders.
Read Guide
Basics
Analyzing the intent differences between using subqueries versus common table expressions.
Read Guide
Cases
A summary of the final review steps before query deployment.
Read GuideTry adjusting your filters or search keywords.