Innovation through self-service data products
summary
A financial institution describes how it replaces heavy custom cross-account glue code with SageMaker Unified Studio catalog to automate Lake Formation permissioning, implements Glue Data Catalog and Lake Formation as the governance backbone, and cuts environment provisioning from weeks to minutes via infrastructure-as-code. Expect concrete patterns: automated RAM shares with tags, attribute-based row-and-column filtering, format-preserving encryption delivered as a service, PrivateLink for Tableau, Iceberg lakehouses and lineage for compliance and faster model development.
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chapters (9)
- 0:00Welcome and introduction
- 1:12Data silos and their challenges
- 4:45Data mesh principles explained
- 8:20First generation data mesh on AWS
- 10:26Modern data mesh with SageMaker
- 12:12Securing data mesh on AWS
- 16:46ANZ Bank’s data mesh journey
- 23:04ANZ’s data strategy and future
- 25:13Key learnings and wrap-up
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