Data & BI
Data and BI, modeled as first-class architecture.
This is not only an AI platform. Ingestion, transformation, the lakehouse, the warehouse, the semantic layer and BI are modeled together - with contracts, lineage, quality and ownership as part of the design.
Data warehouse & BI
From operational systems to analytics - one pipeline.
Every stage is a modeled component, and the governance attributes cut across all of them.
- Operational Systems
- Ingestion
- ETL / ELT
- Data Quality
- Data Lake / Lakehouse
- Data Warehouse
- Data Mart
- Semantic Layer
- BI / Analytics
Cross-cutting
- Data contracts
- Classification
- Lineage
- Freshness
- Governance
- Quality
- Metadata
- Ownership
From the reference model
The data plane of a real reference architecture.
The data pipeline and its governance facets - ownership, classification, quality, freshness and retention - projected from the same model that drives the interactive blueprint.
Pipeline
Ingestion Pipeline
Azure
Lakehouse
Azure
Data Warehouse
Azure
Semantic Layer
Azure
BI / Analytics
Azure
Vector Store
AWS
Data governance
| Data domain | Owner | Classification | Quality | Freshness | Retention |
|---|---|---|---|---|---|
| Enterprise Documents | Knowledge Management | confidential | Validated on ingest | Daily | 7 years |
| Operational Records | Business Operations | confidential | Contract-checked | Hourly | 5 years |
| Analytics Marts | Analytics | internal | Tested transforms | Daily | 3 years |
| Agent Memory | AI Platform | confidential | Ephemeral | Real-time | 30 days |
Lineage, ownership, classification, quality and retention travel with the data in thereference model - not tracked in a separate spreadsheet.
Contracts & quality
Data contracts, quality checks and freshness SLAs are modeled at the boundary, so downstream consumers can trust what they receive.
Lineage & metadata
Lineage, classification and metadata travel with the data, making impact analysis and governance tractable.
Ownership & governance
Data ownership and governance policies are explicit, so accountability doesn't evaporate as data moves.