Manuela Wei

Data engineers often face the challenge of creating complex data transformation pipelines while balancing infrastructure overhead, debugging inefficiencies and cost control. Attendees will learn 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.

Join us to explore the cutting-edge Snowflake Tasks features that are transforming how organizations orchestrate their data pipelines. You will learn practical insights into using Tasks for effective data pipeline orchestration. Get inspired by Blue Yonder’s success story that showcases how using Tasks has led to significant cost savings and data pipeline performance optimizations. Learn how these innovative solutions can help you elevate your data game, drive business transformation, and revolutionize your approach to stay ahead in an increasingly data-driven world!

Intuit's Stream Processing Platform (SPP) allows any developer to easily build and manage stream processing applications. With SPP, a developer only needs to focus on developing their business logic and data transforms.