# Getting started
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This section describes the reference implementation shape for the Automotive Data Governance pattern. A concrete implementation would begin with the foundation governance stack (see [Platform foundation](platform-foundation.md)) and extend it with the multi-region components described here as the compliance requirements demand.

## Implementation prerequisites
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A reference implementation of this pattern would be built on:
+ AWS Organizations with a multi-account structure (governance, producer, consumer accounts)
+ IAM permissions covering Lake Formation resources, Glue jobs, and CloudTrail trails
+ EU region access (eu-west-1 or eu-central-1) for PII data processing
+ A clear data classification policy defining which fields are PII and which can be anonymized for global access

## Reference implementation shape
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A reference implementation of this pattern would typically be structured in five phases:

### Phase 1: Central governance foundation
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A dedicated governance account would host the central Lake Formation instance, with AWS Organizations providing the multi-account structure. An organization-wide CloudTrail trail with S3 Object Lock would provide the immutable audit foundation, and Amazon Macie would handle automated PII discovery across the data estate.

### Phase 2: EU producer region
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The EU producer region would ingest connected vehicle data through AWS IoT Core into Amazon Kinesis Data Streams, with AWS Glue Data Quality validating automotive-specific rules (VIN formats, sensor ranges) before Glue ETL Streaming jobs classify and anonymize the stream in real time. The result is two governed data stores — PII data locked to the EU region via Lake Formation deny policies, and anonymized data eligible for cross-region replication.

### Phase 3: Global consumer access
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Consumer regions would access anonymized EU data through Lake Formation resource links, which enforce producer-region permissions at query time. R&D teams would reach the anonymized data through Amazon Athena, Amazon SageMaker, and Amazon QuickSight — the same tools they use for other analytics workloads — without any path to the PII store in the EU region.

### Phase 4: Vehicle owner data rights portal
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A data rights portal would combine Amazon Cognito authentication, API Gateway endpoints, and Lambda authorizers performing VIN ownership validation to give vehicle owners access to their own data in machine-readable formats (JSON, CSV), supporting GDPR Article 20 portability and EU Data Act Article 4 access requirements. Consent preferences would be tracked in DynamoDB, with custom validation logic enforcing consent status before any data access or third-party sharing.

### Phase 5: Audit and compliance validation
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With all components deployed, the governance validation pattern would confirm: PII data is inaccessible from global consumer regions; R&D teams can query anonymized data through resource links; vehicle owners can retrieve and export their data via the portal; all data access is captured in CloudTrail with user identity; and compliance reports can be generated from the centralized audit store.

## Next steps
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+ Start with the foundation governance stack (see [Platform foundation](platform-foundation.md)) as the deployable single-region core
+ Extend with EU producer region components as data sovereignty requirements are defined
+ Configure data quality rules and anonymization logic for your specific vehicle data schema
+ Customize consent management workflows to match your regional compliance obligations
+ Establish regular compliance audit cadences and disaster recovery test schedules