run-demo

To run an end-to-end Snowflake demo, this Skill automates provisioning and execution across the data lifecycle from real-time ingestion to governance, using guided preflight checks and deterministic steps.

The Automated Intelligence demo covers 11 Snowflake capabilities, including Snowpipe Streaming, Dynamic Tables, Cortex Search, Cortex Agent, Semantic Views, Row Access Policy, ML Model Registry, dbt analytics, and Streamlit dashboards.

Yes, the Snowflake platform training demo supports pause and resume control for presenters, alongside section-by-section execution to guide audiences through each capability in a reproducible environment.

No external dependencies are required to execute the Snowflake data lifecycle demo; the Skill relies solely on its internal deterministic steps and preflight checks to provision the environment.

The demo handles row access policy and RBAC by executing within a governance-enabled environment, demonstrating Snowflake's Row Access Policy feature alongside other capabilities for secure platform training.

The best way to demonstrate Cortex Agent and Dynamic Tables together is through the Automated Intelligence demo, which provides a reproducible environment covering both capabilities within a single end-to-end execution.