This how-to guide explains how data mesh enables competitive analytics before, during, and after cloud migration. It describes the four principles of data mesh: domain ownership, data as a product, self-service platforms, and federated governance. The guide highlights how decentralized architectures reduce bottlenecks, eliminate data silos, and support hybrid environments. It shows how Starburst and Google Cloud enable federation across on-prem and cloud systems, allowing analytics without full data migration. The document frames data mesh as both a cultural and technical transformation that accelerates time-to-value while maintaining governance and scalability.

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