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Data lakehouses are transforming the way organizations manage and analyze data, combining the flexibility of data lakes with the performance of data warehouses to support real-time insights. But how does this apply to supply chain data? In this discussion, we explore how data lakehouses help businesses unlock supply chain visibility, efficiency, and resilience. By enabling structured and unstructured data processing, a lakehouse can seamlessly integrate supplier data, inventory tracking, transportation logistics, and real-time market conditions. This allows companies to improve demand forecasting, optimize routes, and reduce operational risks—all while maintaining strong data governance and access control. With Starburst, organizations can harness the power of an open data lakehouse architecture to unify dispersed supply chain data across multiple cloud and on-prem systems. Whether you need to modernize legacy data infrastructure, improve query speed, or enable federated analytics, a lakehouse provides the agility and scalability to handle complex, multi-source supply chain data. Join us as we discuss how businesses can build a modern, data-driven supply chain using the power of data lakehouses. #DataLakehouse #SupplyChainAnalytics #StarburstData #DataArchitecture #BigData