Getting started

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) and extend it with the multi-region components described here as the compliance requirements demand.

Implementation prerequisites

A reference implementation of this pattern would be built on:

Reference implementation shape

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

Phase 1: Central governance foundation

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

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

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

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

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