Analytics capabilities architectural patterns: A journey for data-driven insights
summary
Presents a three‑stage, outcome‑driven roadmap: eliminate the ingestion burden first (use CQRS, DynamoDB streams or AWS DMS CDC, SaaS connectors, Aurora→Redshift transfer, Athena federated queries), then create a cost‑effective layered platform with integrated layer plus staging and consumption experiences (S3 object store, Redshift for dashboards, Athena for notebooks, cache insights in DynamoDB), and finally expose a distributed data marketplace with producers/consumers/operators and incentives. Reversible choices, separation of storage and compute, and fixing resource bottlenecks before a mesh are decisive recommendations.
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chapters (6)
- 0:00Introduction to journey
- 6:02Initial phase: silos
- 13:22Easing ingestion burden
- 19:26Functional state
- 30:06Data scale and distribution
- 40:13Conclusion and resources
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