This three-day accelerated course presents key performance capabilities, Snowflake best practices, and tuning techniques to help participants use the Snowflake Data Cloud to develop diverse, high-performance workloads. The course illustrates performance design best practices and pitfalls so participants can apply the methodology and features to their diverse workloads.

The course is delivered on the latest version of the Snowflake Data Cloud with new performance features and some emerging features in public preview.

This course consists of lectures with many practical examples in instructor-led demos, followed by experiential exercises.

ACQUIRED SKILLS

• Work effectively and efficiently with the key capabilities and best practices behind Snowflake’s Data Cloud four-tier architecture designed for performance and scale.
• Apply the appropriate Snowflake-provided tools for performance assessment and optimization.
• Use Snowflake’s tuning methodology on established performance features, including best practices and avoiding pitfalls to work efficiently with the platform.
• Explore emerging performance features with suitable use cases and adoption of best practices.
• Formulate diverse, high-performance, and efficient workloads, including data transformations, analytic applications, and data sharing.
• Achieve cost optimization by working effectively and monitoring the Snowflake Data Cloud.