This ebook provides a practical framework for evaluating and adopting a modern data lakehouse architecture. It explains the shortcomings of traditional data warehouses and data lakes, including high costs, rigid schemas, and limited support for AI and real-time analytics. The guide defines core lakehouse requirements such as open table formats, separation of compute and storage, strong governance, and support for structured and semi-structured data. It walks buyers through key evaluation criteria including performance, interoperability, security, scalability, and vendor lock-in. The ebook positions Apache Iceberg as the foundation of a future-proof lakehouse and highlights how Starburst enables federated access, consistent governance, and high-performance analytics across hybrid and multi-

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