Streamline Data Transformation Pipelines

Data engineers often face the challenge of creating complex data transformation pipelines while balancing infrastructure overhead, debugging inefficiencies and cost control with dbt Projects on Snowflake (now in public preview). In this 60-minute demo, Charlie Hammond with the aid of host, Vino Duraisamy, will show you the best practices for building scalable and cost-efficient data transformation pipelines with built-in telemetry enhancing monitoring and debugging capabilities with this new feature announced at Snowflake Summit at the beginning of the month. 

By leveraging automation and managed services in Snowflake, engineers can focus on delivering insights rather than maintaining infrastructure. Join us to discover how to simplify data pipeline management, optimize costs and improve reliability in modern data ecosystems. 

During this demo, you’ll learn about dbt Projects on Snowflake and how to

• Build: Create self-serve, fully-managed data engineering pipelines
• Monitor: View unified observability and debugging
• Schedule: Reduce burden of managing compute for an orchestrator
• Test: Validate models and catch issues before reaching production