Marcin Migda (Staff Data Engineer at leading restaurant POS company SpotOn) and Ricky Thomas (CTO of Streamkap) will talk about how SpotOn reduced cost by 3x and pipeline latency 4x.

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You'll learn how SpotOn:

✅ Replaced their batch processing solution with streaming

✅ Reduced raw data sync time by 98%

✅ Decreased model refresh time by 67%

✅ Reduced total latency by 75%

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Register now to learn benefits of Dynamic Tables in Snowflake including:

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• Declarative transformation and automated data refresh
• Simplified data engineering by automating and ensuring fresh data
• Ideal use cases for efficient data modeling, query materialization, and automatic data refresh
• Limitations and considerations to keep in mind

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