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This lecture delves into the challenges faced by analytical databases due to the increasing volume of concurrent queries, proposing adaptive sharing aware databases as a cost-effective solution. By identifying commonalities across queries and leveraging query optimization, the instructor presents a novel approach to reduce processing costs and improve efficiency through adaptive execution and reinforcement learning, ultimately aiming to revolutionize the execution of analytical queries.
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