MDM: K11s Orchestration for Enterprise Data Quality at Scale
summary
Claims a cloud-native MDM built on Kubernetes with Helm charts and GitOps for deployments, StatefulSets and PersistentVolumes for state, HPA for elastic scaling, Kafka and Pulser for streaming, and Prometheus/Grafana for observability. Gives concrete results: 99.9% uptime during peak events and 30% cost reduction via autoscaling while mastering million‑plus records. Describes consensus tools like ATCD and Cockrod DB for consistency, CI/CD for rule rollouts, and a global retailer case where the architecture actually meets SLAs.
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chapters (11)
- 0:00Introduction to Cloud Native MDM
- 0:28The Need for Evolving MDM
- 0:58Microservices and Kubernetes in MDM
- 1:45Kubernetes Orchestration and Scaling
- 2:58Deployment and Configuration with Helm Charts
- 3:53Ensuring Data Integrity and Consistency
- 8:12Security and Compliance in Cloud Native MDM
- 9:05Case Study: Global Retailer Success
- 10:00Best Practices and Common Pitfalls
- 11:09Future of Cloud Native MDM
- 12:05Conclusion
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