{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/4b421d8bd74f4b0d9accdb570051202c\" frameborder=\"0\" width=\"2560\" height=\"1920\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1920,"width":2560,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1920,"thumbnail_width":2560,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/4b421d8bd74f4b0d9accdb570051202c-00001.gif","duration":301.533333,"title":"dbt Cloud: Production Gatekeeper Demo","description":"Problem: When errors happen in production data, it's already too late as those errors are living and breathing in consumer experiences(think: BI dashboards). How do we prevent errors from hitting production data in the first place?\n\nSolution: Ensure errors happen in the staging layer only, so when things go wrong people don't have to scramble over how to fix production data. You simply have to fix mistakes at the staging layer and copy it over into production when things are working right!\n\nNote: Uses snowflake in this demo"}