Free checklists and guides
Checklists and a step-by-step guide from my own public work, free to use without a call. Each one says which decision it helps with and how to use it, and each one prints.
CDC pipeline checklist
What a change data capture pipeline needs before people rely on it: keys, ordering, deletes, lag, reconciliation and recovery.
Helps decide: Whether a change data capture pipeline is ready for people to rely on, or only ready for a demo.
Build a CDC pipeline, step by step
The order I build a change data capture pipeline in, each step linked to the file in my public repositories that shows it done.
Helps decide: Where to start, and in what order, when a pipeline has to keep an analytics warehouse in step with a transactional database.
Platform choice scorecard
Score the four choices that set a data platform's shape: storage, integration, ownership, and where definitions live.
Helps decide: Which shape fits your team now: a warehouse, a lake or a lakehouse; ETL, ELT or change data capture; and how ownership and definitions should work.
AI readiness checklist
Questions to answer before funding an AI use case: whether the data under it, its owners and its controls can carry it.
Helps decide: Whether an AI use case is ready to fund now, needs data work first, or should wait, judged on the data and controls underneath it rather than on the model.