Data Mesh: Kicking Off a Mentality Change in an Organisation
summary
Argues that Data Mesh requires organizational change not just infra and claims a measurable rollout: migration to cloud with GCP BigQuery dbt Looker Atlan Airflow Spark Iceberg S3; creation of domain-aligned data products and a data product canvas; a first wins case for leads that proves the pattern and yields 200,000k cost savings; adoption runs slow with <30% adoption after 1.5 years and realistic horizon of three to five years.
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chapters (12)
- 0:00Introduction
- 1:08Audience familiarity
- 3:18Data mesh benefits
- 8:35Swiss Marketplace journey
- 13:55Why data mesh chosen
- 16:03First use case architecture
- 20:28Data mesh implementation reality
- 22:03First use case challenges
- 26:42Adoption strategies
- 31:14Change management framework
- 33:16Transformation timelines
- 33:58Progress and resilience
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