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Discover how to optimize lakehouse data layouts and accelerate query performance in this 12-minute sponsored conference talk from Databricks. Learn about the challenges of managing modern lakehouse architectures and open-table formats, including data layout optimization, clustering, and small file management. Explore Qbeast's platform-independent patented multi-column indexing technology that optimizes lakehouse data layout, accelerates queries, and significantly reduces compute costs without disrupting existing architectures. Understand how Qbeast handles high-cardinality clustering and supports incremental updates to enable efficient, scalable, AI-ready data infrastructure. Gain insights into reducing compute costs independent of your data platform and compute engine through this comprehensive overview presented by Srikanth Satya, CEO of Qbeast.
