Data Engineering7 min read·
Modernising to a lakehouse without boiling the ocean
Sample article — general educational guidance, not specific professional advice.
Big-bang data migrations are risky and slow to show value. An incremental, domain-by-domain approach is usually better.
Pick a high-value data domain, model it through bronze/silver/gold layers, add quality tests, and ship a trustworthy output.
Each increment proves the pattern, builds confidence, and delivers something teams can use now.
Governance and clear metric definitions prevent the 'reports disagree' problem from returning.