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Exploring Lake House Architecture Best Practices and Data Flow Challenges
Exploring the principles and best practices of lake house architecture, including discussion on turning off staging by default and writing every table to the lake house for efficiency. The chapter also delves into the comparison between data flows Gen 2 and Databricks in data engineering, discussing challenges like the absence of CI/CD capabilities and struggles in passing parameters between pipelines and data flows.