Snowflake Performance Automation and Tuning

Description

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

The course is delivered on the latest version of the Snowflake Cloud Data Platform 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 hands-on exercises.

Objectives

View the Course Datasheet

• •Work effectively and efficiently with the key capabilities and best practices behind Snowflake’s Cloud Data Platform three-tiered architecture designed for performance and scale.
• •Apply the right set of 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 Cloud Data Platform.

Prerequisites

• •to bring a laptop
• •a Snowflake compatible browser (see options HERE)

Audience

• •Technical Team Leads
• •Data Architects
• •Snowflake Administrators
• •Data Engineers
• •Data Application Developers