3 entries tagged "sql" — 0 posts, 3 links.
This is a small but useful data-team link because SQL style is a collaboration tool. A query that is easy to review, modify, and debug is a data product maintenance win.
The guide should not become dogma. Its value is giving teams a baseline so code review can focus on logic instead of formatting taste.
This belongs in the queue because database performance is often where application assumptions meet physical reality. Indexes, query plans, and access patterns are product concerns when latency becomes user-visible.
It is also a reminder that "the database is slow" is rarely a useful diagnosis. The question is what the query asked the database to do.
This is a good systems explanation for software developers who use databases every day but have not built a mental model of parsing, planning, storage, indexes, and execution.
Worth keeping because better database intuition changes how you design APIs, migrations, reports, and data products.