Designing better datasets for diagnostic analytics

For years, business intelligence (BI) tools and legacy analytics warehouses trained data teams to aggregate, simplify, and streamline datasets into narrow, normalized schemas to work within the tools’ storage and processing limitations. But a new class of cloud-native warehouses have overcome many of these scale and speed challenges, making it easier for companies to store all the rich, wide data they capture. These new warehouses eliminate the need to transform and simplify data before load, meaning it’s time to break some old BI habits.
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In this e-book, 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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