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NeoArc Studio

Data Product Architecture Template

Documenting data products with formal ownership, contracts, quality expectations, and consumer interfaces

The Data Product Architecture template provides a structured approach to documenting data products with formal ownership, contracts, quality expectations, and consumer interfaces.

Template Sections

This template includes 7 sections.

Data Product Overview
Describe the data product: its purpose, the business domain it belongs to, and the consumers it serves
Data Product Architecture Diagram
Diagram section
Data Product Catalogue Entry
Document the data product: its description, owner, domain, output schema, access methods, freshness guarantee, and...
Data Product Contract
Document the data product contract: what is provided, the SLA, schema versioning approach, breaking change policy, and...
Data Product Quality Gates
Define the quality checks that the data product must pass before data is served: completeness, accuracy, freshness, and...
Data Product Ownership
Document who owns the data product: the domain team, the data steward, the technical owner, and the support model
Data Product Risks
Document risks: schema breaking changes affecting consumers, quality degradation, ownership ambiguity, and the cost of...

Section Details

Block Types Used

Content blocks used in this template
SectionBlock TypePurpose
Data Product OverviewRich TextDescribe the data product: its purpose, the business domain it belongs to, and...
Data Product Architecture DiagramDiagramDiagram section
Data Product Catalogue EntryService CatalogueDocument the data product: its description, owner, domain, output schema,...
Data Product ContractInterface ContractDocument the data product contract: what is provided, the SLA, schema...
Data Product Quality GatesQuality GateDefine the quality checks that the data product must pass before data is...
Data Product OwnershipComponent ResponsibilityDocument who owns the data product: the domain team, the data steward, the...
Data Product RisksRiskDocument risks: schema breaking changes affecting consumers, quality...

Getting Started