01
Portability Test Plan
Build a replayable acceptance test for moving a data product between engines.
Open portability test planINDEPENDENT ENTERPRISE DATA INTELLIGENCE
Data without
dead ends.
Design data platforms that can share safely, move when needed, and support AI with evidence your teams can verify.
01 / ARCHITECTURE
Where data lives, who can use it, and how it moves.
01
Open table formats
02
Governed sharing
03
Data for AI
04
Hybrid placement
DECISION WORKBENCH
Make the trade-offs visible.
Take a workload from an architecture diagram to an evidence-backed evaluation. Start with an example or use your own assumptions.
02
Data Movement Economics
Compare copies, storage, transfer and operating work over a common horizon.
Open data movement economics03
Sharing Readiness
Check eight controls and export the evidence your approval team needs.
Open sharing readinessFIELD GUIDES
Follow the data.
Read the guides in order, or go straight to the decision in front of you.
01Read guide02Read guide03Read guide04Read guide05Read guide06Read guide
Open tables in practice
Test the engine pair, table features and catalog that your workload will use.
Catalogs and lineage
Trace what users and agents can discover, read and reconstruct.
Sharing and clean rooms
Choose a delivery pattern for the data, output and partner involved.
Hybrid and sovereign placement
Map the control plane, copies, operations and recovery by location.
Data for enterprise AI
Carry entitlement, provenance and retention from source to retrieval.
Operating model and exit
Measure operating effort and prove that the rollback can work.
THE DESIGN QUESTION
Can the next team prove what this one decided?
A useful architecture records the dataset, permitted use, expected costs and the evidence that would change the decision.