Not well-defined Lakehouse Architecture
Refference:
From the insights presented, we can formalize several key observations about lakehouse architecture:
- Definition and Structure:
- Lacks rigid architectural definition
- No strictly defined physical structure
- Terms can be ambiguous and potentially misleading
- Common Technical Elements:
- File system structuring
- Data compression methodologies
- Open table format implementations
- Schema/layer-based data isolation
- Well-defined bucketing strategies
- Large-scale SQL query capabilities
- Architectural Components:
- Inter-layer data validation (bronze/silver/gold or landing/staging/warehouse)
- Governance through data cataloging
- Integration of multiple data management capabilities
- Implementation Considerations:
- Beyond buzzwords, requires thorough technical planning
- Not a universal solution despite all-in-one marketing
- Careful evaluation of specific use case requirements needed
Note: While lakehouse offers comprehensive data architecture, success depends more on thoughtful implementation than architectural terminology.