Joined a company that proudly called their data lake a "single source of truth." Three months in I found four different versions of the customer table, two of which were named identically but defined "active customer" differently.
The warehouse vs lake vs mesh conversation always starts as an architecture decision and ends as a people problem. The technology works fine. The part that breaks is getting thirty engineers across six teams to agree on what "revenue" means.
Nobody ever lost a data architecture argument on technical merit. They lost it because the other team's dashboard went to the CEO first.
The distinction that often gets lost in practice: data lakes promise flexibility but deliver ambiguity, while warehouses promise structure but create bottlenecks. Data mesh is philosophically appealing — treating data as a product owned by domain teams — but it requires organizational maturity that most companies underestimate. In financial services especially, the governance requirements push most teams back toward the warehouse sooner or later.
Joined a company that proudly called their data lake a "single source of truth." Three months in I found four different versions of the customer table, two of which were named identically but defined "active customer" differently.
The warehouse vs lake vs mesh conversation always starts as an architecture decision and ends as a people problem. The technology works fine. The part that breaks is getting thirty engineers across six teams to agree on what "revenue" means.
Nobody ever lost a data architecture argument on technical merit. They lost it because the other team's dashboard went to the CEO first.
As a leader of other teams you have to explain reasonableness in a perfect way which could be acceptable by CEO and all teams. :>
The distinction that often gets lost in practice: data lakes promise flexibility but deliver ambiguity, while warehouses promise structure but create bottlenecks. Data mesh is philosophically appealing — treating data as a product owned by domain teams — but it requires organizational maturity that most companies underestimate. In financial services especially, the governance requirements push most teams back toward the warehouse sooner or later.