A practical pattern for organizing product, operational, and analytical data without creating a maintenance burden.
Teams often build data pipelines before they have agreed on common definitions for user, event, and transaction records, which leads to confusion later.
A sound architecture introduces ownership, naming consistency, access policies, and measurable freshness targets.
Once data is shared clearly, product, marketing, and operations can make decisions from the same source of truth.
