Understanding Semantic Models and Data Lake House Layers

The Dashboard Effect

Contenuto fornito da Brick Thompson, Jon Thompson, Caleb Ochs, Landon Ochs, Brick Thompson, Jon Thompson, Caleb Ochs, and Landon Ochs. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Brick Thompson, Jon Thompson, Caleb Ochs, Landon Ochs, Brick Thompson, Jon Thompson, Caleb Ochs, and Landon Ochs o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

circa un anno fa 10:25

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In this episode of The Dashboard Effect Podcast, host Brick Thompson and Blue Margin’s Director of Solutions, Landon Ochs, dive into the nuances of semantic models and the bronze, silver, and gold layers within a data lake house. They explain the roles of each layer, how data is transformed at each stage, and why collaboration with business users is essential for accurate and actionable BI reporting.
Through this episode, you'll learn why different layers serve different purposes—from storing raw data to pre-joining tables for efficiency to creating finalized data ready for reporting. They also discuss how the semantic model is designed to simplify complex data relationships, making reporting easier for non-technical users.
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Blue Margin increases enterprise value for PE-backed, mid-market companies by serving as their fractional data team. We advise on, build, and manage data platforms. Our strategy, proven with over 300 companies to-date, expands multiples through data transformation, as presented in our book, The Dashboard Effect.
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