The text discusses how to use SQL for bucketing or binning continuous data such as numbers and time stamps. It explains various methods of bucketing including truncating, date_trunc, SQL intervals, and custom buckets using Postgres width_bucket function. An example is provided where the author uses these techniques to track when Numeracy users first connect a database and segment them into different user personas or 'buckets'. The purpose of this approach is to spot trends, uncover opportunities, and see where and how businesses generate value.