Snowflake makes it easy to build powerful data platforms — but deploying changes safely and consistently is still a challenge for many teams. Manual deployments, stitched‑together scripts, and slow release cycles make it hard to scale development while maintaining governance.
As organizations push toward AI initiatives, these gaps become more visible. "Good enough" delivery processes are not enough when data pipelines must be reliable, governed, and ready to support trusted AI.
In this Snowflake masterclass, Snowflake and DataOps.live demonstrate how to implement continuous integration and continuous delivery (CI/CD) natively in Snowflake. You’ll see how teams can automate deployments, standardize workflows, and enforce governance using a Snowflake‑native application from the Snowflake Marketplace.
In this recorded session, Snowflake and DataOps.live show how data teams implement CI/CD directly inside Snowflake using a native application from the Snowflake Marketplace.
Many Snowflake teams rely on custom scripts, stitched‑together tooling, and manual promotion processes to deploy database changes. This approach slows delivery and makes governance difficult to enforce.
In this masterclass, you'll learn how to:
This session is designed for data and platform leaders responsible for building, operating, and scaling Snowflake environments.
You’ll get the most value from this masterclass if you are:
If your team currently relies on scripts, manual deployments, or stitched‑together tooling to promote Snowflake changes, this masterclass will show you a simpler and more governed approach.