# ADVREL08-BP02 Maintain data consistency and availability across collaboration workflows
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 Data consistency and availability is critical when working with multiple stakeholders or workflows. Implement tools like versioning, logging, and health checks to verify that data remains consistent and available. 

## Implementation guidance
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+  Implement versioning for collaborative datasets and schemas. 
+  Use transaction logs for tracking privacy computation state. 
+  Configure cross-Region replication for critical data stores. 
+  Implement idempotency for matching operations. 
+  Set up health checks for collaboration service endpoints. 
+  Use read replicas for high-availability data access. 
+  Configure automated rollback procedures for failed operations. 

## Key AWS services
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+  Amazon DynamoDB 
+  Amazon S3 
+  AWS Lambda 
+  Amazon CloudWatch 

## Resources
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+  [Guidance for Maximum Data Availability Architecture on AWS](https://aws.amazon.com/solutions/guidance/maximum-data-availability-architecture-on-aws/) 
+  [CAP theorem](https://docs.aws.amazon.com/whitepapers/latest/availability-and-beyond-improving-resilience/cap-theorem.html)