From Data Strategy to a Scalable Data Mesh – How to Successfully Navigate the Journey
summary
Case study shows a large Swedish retailer (IKEA) moving from shared warehouses to a scalable data mesh by defining domains, creating data products with SLAs, and surfacing them in a discoverable data catalog so teams can subscribe and reuse. A cloud data platform abstracts infra, access controls and automates CI/CD and data engineering best practices to speed rollout; next steps are professionalizing devops and scaling product count. Earlier industrial work connects 190 factories into a single digital manufacturing platform for predictive maintenance and optimization.
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chapters (8)
- 0:00Data mesh journey intro
- 2:08Why data mesh matters
- 4:34Scaling data analytics challenges
- 7:00Building data strategy
- 9:06Key analytics capabilities
- 14:22From data warehouse to mesh
- 16:50IKEA’s data mesh
- 21:26Data mesh success factors
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