Modern data lakehouse on AWS
An illustrative architecture case study showing how a lakehouse project could be documented.
experimentalAWSS3SparkSQL
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Problem
Show how source data could move through raw capture, governed refinement, and analytics-ready models while keeping lineage and recovery visible.
Architecture
Source systems → S3 landing → catalog and processing → Bronze → Silver → Gold → analytics.
Lessons to validate
- Give each layer an explicit contract.
- Test recovery before calling a pipeline reliable.
- Publish substantiated results only after measuring them.