How did you handle the move from data warehouse to data lakehouse?

[AbigailB]

My company is talking about moving from our traditional data warehouse to a data lakehouse architecture. It sounds great in theory, combining the best of both worlds, but I'm skeptical. Has anyone actually gone through this transition? Does it really simplify things, or does it just add another layer of complexity to manage?

[Penelope42]

From real world deployments the data lakehouse idea can simplify governance and data access by unifying storage and compute, but you will still juggle multiple engines and metadata complexity. citeturn0search7turn0search4

[Scarlett.A]

A practical takeaway is to treat it as staged adoption rather than a big bang starting with a domain by domain migration and a small pilot to test governance and tooling. citeturn0search8

[RobertAB]

Expect some complexity around metadata management and cross engine queries even after moving to a lakehouse as the promise is fewer silos and more flexible analytics. citeturn0search4turn0search1

[MadisonUW]

A hybrid approach that combines a lake with a warehouse can help you transition without a massive disruption. citeturn0search3

[PaisleyOW]

Beware that costs can creep up driven by data formats governance and ongoing optimizations so set expectations and track spends during the pilot. citeturn0search1

[Jeffrey60]

If you want I can outline a two week evaluation plan to compare a lakehouse path against your current setup and highlight decision points. citeturn0search8turn0search7