Domain owners
Establish trusted inputs, ownership, and clear access boundaries.
TECHNOLOGY / DATA
Data products & semantic architecture
Make enterprise information understandable and reusable.
ARCHITECTURE GUIDE / 03HOW THE TECHNOLOGY CONNECTS
REFERENCE DESIGN01Domain owners
02Data contracts
03Catalog + lineage
04Semantic metrics
05Reusable data products
CONTROL PLANEIdentity · governance · observability
THE PRACTICAL VIEW
Understand the pattern.
Then choose the tools.
Teams disagree on definitions or duplicate the same transformations.
Domain-owned data products, semantic metrics, metadata catalogs, lineage, and access contracts. The right design depends on data characteristics, operating constraints, risk, and the people who will maintain it.
Define ownership and metrics; publish contracts; expose governed interfaces; track usage.
ARCHITECTURE RESPONSIBILITIES
Data contracts
Make this responsibility explicit, observable, and independently testable within the overall workflow.
Catalog + lineage
Make this responsibility explicit, observable, and independently testable within the overall workflow.
Semantic metrics
Make this responsibility explicit, observable, and independently testable within the overall workflow.
Reusable data products
Define acceptance checks and ownership of the resulting information or action.
TECHNOLOGY OPTIONS
Architecture first.
Tools with a purpose.
Semantic layers, catalogs, data contracts, knowledge graphs
Examples describe architectural options, not Travinto partnerships, certifications, or confirmed integrations.
Fit
Does the pattern solve a specific workflow problem?
Trust
Can access, quality, and source evidence be verified?
Operate
Can the team observe, recover, and manage the system?
Value
Can usefulness and cost be evaluated against a baseline?
Where this pattern
can come into focus.
START WITH YOUR CONTEXT
Make the next step
a practical one.
Explore the opportunity, assess your current landscape, and agree a focused scope with clear success criteria.
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