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This lecture discusses Adaptive Hybrid Transactional/Analytical Processing (HTAP) through Elastic Resource Scheduling, focusing on the trade-offs in static HTAP designs, hybrid accesses vs copying fresh data, and the use of elastic compute for fresh data locality. It also covers fresh data-driven adaptivity, experimental setup details, and the concept of Adaptive HTAP with predictable interference. The instructor emphasizes the importance of maximizing fresh data locality while managing interference effectively by scheduling workload based on the amount of fresh data.
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