Autonomous SQL pipelines for AI agents

Traditional data engineering forces you to build and manage custom code for orchestration, change-data capture, and resource management. This not only slows down your team, but also creates technical debt that can make your pipelines fragile.

Join us for a hands-on webinar where you'll learn how Snowflake Dynamic Tables simplify your data engineering workflows. Snowflake Dynamic Tables provide a declarative approach to data pipelines where you simply define the desired state using a standard SQL statement and Snowflake manages the incremental updates and orchestration.

In this step-by-step guided session, your instructor will walk you through building a complete, modern data pipeline to power an AI application. You'll learn to:

• Ingest sample raw data into Snowflake
• Create a Dynamic Table
• Consume the refined data by building a lightweight, interactive Streamlit application directly within Snowflake

You'll leave this session with the knowledge to build resilient, auto-managed and easy-to-maintain data pipelines, drastically reducing your operational overhead and speeding up your time-to-insight.