Using Dataops To Build And Manage Data Products On Snowflake

on YouTube ↗28m

" summary

Roche moves analytics onto Snowflake with DataOps.live as the orchestrator and CI/CD engine, wiring GitLab + declarative YAML pipelines, automated testing gates, ephemeral environments and Calibra metadata publishing. The platform supports 40 teams and 50 data products, delivers 120 releases per month, and produces an MVP in 6–8 weeks instead of months. Federated governance uses project inheritance for central guardrails; the stack reports measurable value including $40M savings and broad production use.

AI-written summary · about

" chapters (7)

1. 0:00Introduction and vision
2. 3:53DataOps and data mesh journey
3. 7:03Core DataOps principles
4. 14:43Advanced platform capabilities
5. 20:22Federated governance challenges
6. 22:48People and process changes
7. 23:54Measured business impact

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