Deploying Data Pipelines with Snowflake and dbt Labs

Are you an analytics engineer looking to improve your architecture and DevOps practices? Have you been experimenting with new features like Snowflake Dynamic Tables or is your organization considering new architectural approaches? In this 60-minute demo, we’ll walk you through some of the latest functionality and integrations between Snowflake and dbt to help you plan, develop, and deploy data pipelines within your organization.

In this demo, we’ll show you:

• How to improve DevOps with git integration in Snowflake CLI
• Developer-centric tips for discovering and accessing data products across Snowflake Marketplace, ad-hoc uploads, and connecting via Snowpark external access
• Alternatives to lambda architecture for streaming data sources with Dynamic Tables
• New materialization options with Dynamic Tables and Apache Iceberg