About This Architecture

Aurora PostgreSQL to Redshift Zero ETL integration eliminates traditional batch ETL by streaming transactional data directly into a three-layer Redshift architecture. Data flows from Aurora through Zero ETL Integration into L1 Landing, transforms through L2 Curated, and serves L3 Consumption layers for QuickSight reporting. This architecture reduces pipeline latency from hours to near real-time while maintaining data governance through IAM, KMS, Secrets Manager, CloudWatch, CloudTrail, and VPC Flow Logs. Fork this diagram on Diagrams.so to customize layer transformations, add data quality checks, or integrate additional Aurora sources. Ideal for teams migrating from legacy ETL tools to AWS-native streaming analytics without managing Glue jobs or Lambda functions.

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How do I design an AWS Aurora to Redshift Zero ETL pipeline with landing, curated, and consumption layers?

This diagram shows Aurora PostgreSQL streaming through Zero ETL Integration into Redshift's L1 Landing layer, transforming through L2 Curated, serving L3 Consumption, and feeding QuickSight for business users. Security governance includes IAM, KMS, Secrets Manager, CloudWatch, CloudTrail, and VPC Flow Logs.