This ebook explains why traditional data warehouses and first-generation data lakes struggle to meet modern analytics demands. It outlines common challenges including rigid schemas, data duplication, rising costs, and limited scalability. The book introduces modern data lake architectures built on open object storage, separation of compute and storage, and support for diverse workloads. It highlights the role of federated query engines in enabling faster insights without data movement. The ebook frames Starburst as a critical component for delivering flexibility, performance, and governance in modern data lake environments.

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