Lakehouse Federation
A data architecture pattern that allows an analytics engine to issue federated queries directly against external source systems, leaving data in place rather than physically migrating it. Its core proposition is "Query Anywhere, Move Nothing."
Timeline (last 90 days)
The core pattern of Lakehouse Federation is that queries happen anywhere, the data itself does not need to move, and the analytics engine issues queries directly to the source system and only brings back the results.
Adopting the federation model changes the cost structure: it saves the overhead of centralized storage and pipeline maintenance, but cross-system calls during queries may introduce new compute and network costs, which need to be evaluated in light of usage patterns.
For high-frequency, stable core reports, whether a governed centralized copy should still be retained is not given a uniform answer in the original text, and this itself is a point that needs to be weighed in practice.
All Facts (3)
The core pattern of Lakehouse Federation is that queries happen anywhere, the data itself does not need to move, and the analytics engine issues queries directly to the source system and only brings back the results.
50%UnverifiedAdopting the federation model changes the cost structure: it saves the overhead of centralized storage and pipeline maintenance, but cross-system calls during queries may introduce new compute and network costs, which need to be evaluated in light of usage patterns.
50%UnverifiedFor high-frequency, stable core reports, whether a governed centralized copy should still be retained is not given a uniform answer in the original text, and this itself is a point that needs to be weighed in practice.
50%