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PowerBI and Snowflake Performance Optimization Best Practices

Data is powerful, but only when you can transform it into actionable insights. You've chosen two industry-leading platforms—Snowflake and Microsoft Power BI—to accelerate analytics, empower users, and deliver real-time insights through interactive reports and dashboards. However, even with the best tools, hidden pitfalls and architectural inefficiencies can dramatically slow down performance, frustrating end-users and delaying critical decision-making. Are you maximizing your investment and getting sub-second responsiveness?

Through this session you will learn how to achieve optimized, lightning-fast reporting that scales with your business needs and provides a superior end-user experience.

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PowerBI and Snowflake Performance Optimization Best Practices

Objectives

This session is designed to help you identify and resolve common bottlenecks. We'll provide recommended best practices with a dual focus, ensuring seamless, lightning-fast performance across your entire analytics stack:

  • Snowflake Optimization: Deep dive into best practices for maximizing your data warehouse efficiency, including proper compute sizing, effective use of caching, strategies for multi-cluster warehouses, and advanced clustering techniques.
  • Power BI Optimization: Master the front-end performance drivers such as efficient data modeling, selecting the right drivers, leveraging optimal storage modes (Import vs. DirectQuery vs. Composite), and effective data size management.

Audience

  • Sales
  • Technical Sales
  • Consultants

Learning Tracks

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Snowflake Education Services includes Instructor-Led Training, SnowPro Certifications, and this online, on-demand educational courses website. Our on-demand courses are branded as "Snowflake University." Snowflake University (aka Uni) offers a badge program called Hands-On Essentials as well as other courses.

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