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Getting started - Guidance for an Automotive Data Platform on AWS
PrerequisitesDeployment stepsValidationNext steps

Getting started

This section provides step-by-step guidance to deploy the Automotive Data Governance solution.

Prerequisites

Before deploying the governance framework, ensure you have:

  • AWS Organizations configured with multiple accounts (governance, producer, consumer)

  • IAM permissions to create Lake Formation resources, Glue jobs, and CloudTrail trails

  • EU region access (eu-west-1 or eu-central-1) for PII data processing

  • Understanding of your data classification requirements and retention policies

Deployment steps

Step 1: Set up central governance

  1. Create a dedicated governance AWS account

  2. Enable AWS Lake Formation in the governance account

  3. Configure AWS Organizations to manage multi-account access

  4. Set up CloudTrail organization trail with S3 Object Lock

  5. Deploy Amazon Macie for PII discovery

Step 2: Configure EU producer region

  1. Deploy AWS IoT Core for vehicle data ingestion

  2. Create Amazon Kinesis Data Streams for real-time telemetry

  3. Set up AWS Glue Data Quality rules for automotive data validation

  4. Deploy AWS Glue ETL Streaming jobs for PII classification and anonymization

  5. Create separate S3 buckets for PII (EU only) and anonymized data

  6. Configure Lake Formation policies to prevent PII cross-region replication

Step 3: Set up global consumer regions

  1. Create Lake Formation resource links pointing to EU anonymized data tables

  2. Configure IAM roles for R&D teams with read-only access to anonymized data

  3. Deploy Amazon Athena workgroups for analytics queries

  4. Set up Amazon SageMaker notebooks for data science workflows

  5. Create Amazon QuickSight dashboards for business intelligence

Step 4: Implement vehicle owner portal

  1. Deploy Amazon Cognito User Pool for vehicle owner authentication

  2. Create API Gateway endpoints for data access and export

  3. Implement Lambda authorizers for VIN ownership validation

  4. Build React SPA for user portal (hosted on S3 + CloudFront)

  5. Configure consent management database (DynamoDB)

Step 5: Enable audit and compliance

  1. Verify CloudTrail logging is capturing all data access

  2. Configure CloudWatch dashboards for governance metrics

  3. Set up SNS notifications for policy violations

  4. Deploy AWS Config rules for compliance validation

  5. Create QuickSight compliance reports

Validation

After deployment, validate the governance framework:

  1. PII Protection: Verify PII data remains in EU region and cannot be accessed from global regions

  2. Cross-Region Access: Confirm R&D teams can query anonymized data through resource links

  3. Vehicle Owner Access: Test data export through user portal with VIN ownership validation

  4. Audit Logging: Verify all data access is logged in CloudTrail with user identity

  5. Compliance Reports: Generate sample reports showing data processing activities

Next steps

  • Configure additional data quality rules for your specific vehicle data

  • Customize anonymization logic based on your compliance requirements

  • Set up automated remediation workflows for policy violations

  • Train data stewards on Lake Formation permission management

  • Schedule regular compliance audits and disaster recovery testing