Three simple tricks to accelerate Snowflake analytics

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Presented by

Grant Shirk & Callum McCann

About this talk

While cloud data warehouses like Snowflake make it easier and less expensive to manage large, rich data, most companies still face an analytics bottleneck. To effectively turn all that data into better decisions, we need better analytics tools purpose-built for Snowflake-scale data. Join the Sisu team as we define three quick wins to unlock the value of your Snowflake data for faster, more comprehensive analysis, including: -Techniques to optimize query times on complex Snowflake data -Data structures and schema to turbocharge analysis -New ways to turn your Snowflake data into decisions, faster

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Sisu enables organizations to operationalize all their data to empower everyone to make the best possible decisions. As the industry’s first decision intelligence engine, Sisu helps teams leverage their data to quickly understand what’s happening, why it’s happening, and how to take action. Based on years of research at Stanford University and proven at Microsoft and Facebook, the Sisu proprietary engine uses scalable machine learning to analyze cloud-scale data in real-time to surface relevant business insights in seconds. Innovative organizations worldwide — including Samsung, Wayfair, Mastercard, Gusto, and more — rely on Sisu to make the best decisions for their business. To learn more about Sisu, visit www.sisudata.com.