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Explore the innovative Multi-Engine Data Virtualization Framework in this 18-minute conference talk. Discover how this approach enhances data virtualization by leveraging the capabilities of various data platforms in today's AI-driven environment. Learn about the framework's strategy to address common data management challenges, enabling smooth integration of federated queries across multiple data engines. Gain insights into the use of caching databases, massively parallel processing (MPP) engines, and vector databases to facilitate real-time analytics. Understand how this framework improves efficiency and effectiveness in handling complex and large-scale data, surpassing traditional data virtualization systems.
