Before a single bucket is provisioned, we must establish our strategic requirements. A Data Lake without a strategy is just a file dump.
We differentiate between the needs of our various data consumers:
Bronze (Raw) layer to train models, build embeddings, and analyze original signals.Silver or Gold layers where schemas are enforced, data is cleaned, and aggregates are pre-calculated.We must balance three competing forces. An architect knows you cannot maximize all three simultaneously without trade-offs:
Avoid the "Data Swamp".
A swamp occurs when data is dumped without metadata, ownership, or lifecycle management. Our goal is a governed reservoir.