Spreadsheets → SQL → Pipelines

The natural progression most data work actually follows - start in a spreadsheet, graduate to SQL when the sheet breaks, and build a pipeline when the work has to run itself.

1. Where Everyone Starts: Spreadsheets Spreadsheets win because they're visible, flexible, and instant - and they break on size, missing types, copy-paste errors, no single source of truth, and manual steps that can't be repeated.
2. Outgrowing the Sheet: SQL & Databases A database gives you one shared source of truth, real declared types and constraints, fast querying over millions of rows, and safe multi-user access - and SQL is how you ask it questions.
3. When It Has to Run Itself: Pipelines When data work must be automated, scheduled, and repeatable with no human redoing it every week, you build a pipeline - gaining reliability, reproducibility, and scale at the cost of engineering effort.