TGViewer
Data Apps Design Data Apps Design @data_apps · 2.08K subscribers
Post #72 326
Here's an easy way to generate comprehensive definition (.yml) of your data sources:

dbt run-operation generate_source --args '{"schema_name": "hevo", "generate_columns": "True", "include_descriptions": "True"}' > src.yaml


- get the list of attributes for every source table
- include descriptions (docs) to be filled

My goals are to:

- Create a single source of truth unifying source data (backend, marketing, events), data marts (DWH), exposures (dashboards, reports) in one place – dbt Docs
- Provide smooth access to docs website via Google SSO / AWS Cognito to whole company
- Cover source tables with freshness and schema tests
- Enable filling in comments and descriptions into predefined structure
- Put docs where the code is (version controlled)

I will use the same generator for all the dbt models.

#docs #pipelines #catalog
More from @data_apps
  1. Aug 25, 2026🔸 Меня заблокировал Cursor Сообщение: Your Cursor account was closed following an account…
  2. Feb 27, 2026✅ 3 ОФФЕРА, мои мысли и рекомендации по поиску работы в 2026 в Data и IT в целом Салют! Чу…
  3. Feb 6, 2026Эксперимент успешный 😌 Чек-лист: https://gist.github.com/kzzzr/e49b7e0b2af01e4e1dbc57102d…
  4. Feb 6, 2026👀 DataLens: Бесплатная сказка закончилась. Кейс миграции на Superset (Open Source BI) 1 м…
  5. Feb 2, 2026😘 Открываю доступ к закрытым записям цикла Designing Modern Data Apps Всем привет! 🟡 Это…
  6. Jan 22, 2026☄ Открыт к предложениям: Staff Data Engineer / Data Platform Lead За 11+ лет я прошел путь…
Threads Profile ViewerView any public Threads profile without an account.Open ThreadLook →Writing with AI? Make it sound human.Metric37 rewrites AI drafts so they read naturally. Free AI detector, 1,500 words free.Try Metric37 →