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. In this 60-minute demo, Charlie Hammond with the aid of host, Vino Duraisamy, will show you best practices for building scalable and cost-efficient data transformation pipelines with built-in telemetry enhancing monitoring and debugging capabilities. 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.