Published: 27 March 2026
Summary
The lakehouse has become the foundation of modern enterprise-scale analytics and AI and ML, but data engineering teams struggle with inconsistent interpretations of zones and medallions, data flows, and design principles. A lakehouse is far more than object storage; it is a converged architecture pattern that unifies data lake flexibility with data warehouse performance and governance. This workshop toolkit provides a structured, repeatable way for data architects to bring the lakehouse reference architecture to life.
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