Panel Debate: Data Mesh – What You Need To Know
summary
Data Mesh is presented as a shift from centralized warehouses to domain-owned data products as first-class APIs, with teams using Starburst, dbt and ThoughtSpot to publish and discover assets. Panelists report 40 Starburst customers already building product catalogs, one org shortens cycles from quarterly releases to 120 releases per month, and many adopt a central access-control layer while keeping storage local. Early deployments are working for targeted use cases but require governance, culture change and data‑ops.
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chapters (11)
- 0:00Introductions
- 1:57Data mesh motivation
- 5:00People and process shifts
- 7:27Data products and domain teams
- 13:18Reframing pipelines
- 21:06Data Ops and architecture
- 25:24Governance and challenges
- 30:16Implementation advice
- 36:13The role of the CDO
- 39:35Future predictions
- 43:23Q&A and closing
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