Practical experience of implementing Data Mesh in the air transport industry
summary
Eight months into a Data Mesh rollout for a Scandinavian low‑cost airline the team moves transactional data via DMS CDC to S3, catalogs it with Glue and Lake Formation, and lands curated datasets in Redshift for analytics; the platform runs across 26 AWS accounts with CloudFormation CI/CD, Secrets Manager and Lake Formation tags for GDPR/PII control. Work focuses on prioritized use cases (predictive maintenance, fuel uplift, commercial reporting), minimizes a 12,000‑report migration, and adds data‑observability tools next—platform live but still early, delivering incremental business proofs.
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chapters (12)
- 0:00Data Mesh introduction
- 3:01Norwegian overview
- 8:20Legacy challenges
- 11:32AWS data platform
- 13:22Lake Mesh design
- 18:49Centralization debate
- 21:54Security regulations
- 27:21Implementation playbook
- 29:09Key use cases
- 31:13Lessons learned
- 37:45Culture adaptations
- 38:54Q&A
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