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Endigest AI Core Summary
Mercedes-Benz implemented a cross-cloud data mesh solution using Databricks Delta Sharing and intelligent replication to reduce egress costs while improving data accessibility.
•Unity Catalog and Delta Sharing serve as the foundation for secure, incremental data exchange across AWS and Azure hyperscalers with role-based access control.
•A hybrid replication strategy combines direct Delta Sharing for real-time use cases with automated Delta Deep Clone jobs for cost-optimized batch workloads.
•Dynamic Data eXchange (DDX) orchestrator automates permission management, sync job orchestration, and cost tracking via Databricks APIs and microservices.
•Egress costs decreased by 66% for initial data products, with annual costs for 50 use cases reduced by 93% while improving data freshness from weekly to daily updates.
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The solution enables data-driven vehicle innovation by connecting previously siloed after-sales, R&D, and marketing datasets into a unified, cost-controlled data mesh.
This summary was automatically generated by AI based on the original article and may not be fully accurate.
Databricks