This audiobook is narrated by a digital voice.
SQL by Ear is a complete spoken course in analytical SQL — twenty-four lectures that carry you from your first database question to the reasoning real analysis demands, with no screen required.
Part one teaches you to retrieve: to read, filter, sort, join, and aggregate data and trust the result. Part two teaches you to reason — window functions, dates and cohorts, reshaping, set operations — and the judgment to interrogate a vague request, commit to a clear definition, and validate an answer before you put your name on it. Every idea is worked on one running dataset, a fictional streaming service, in PostgreSQL, the database most analytics work actually runs on. A later lecture shows how to put an AI assistant to work without surrendering your judgment to it.
If you want to do more than copy queries — to understand what you are asking and why the answer holds — press play.
It leads with what the listener gets, mirrors the book's actual two-part retrieve-then-reason arc, names concrete topics so it doesn't read as vague marketing, and closes on the thesis that's run through the whole course — judgment over syntax. It's written in the book's own plain, slightly opinionated voice. Every claim is true to the manuscript; nothing invented.
