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Learn how to reconstruct historical data states using XTDB, a temporal database system, in this seminar presentation from the CMU Database Group's Future Data Systems series. Explore the unique capabilities of XTDB for managing time-varying data and understanding how database states evolve over time. Discover practical approaches to querying historical information, implementing temporal data models, and leveraging XTDB's bitemporal features for applications requiring audit trails, data lineage tracking, and historical analysis. Gain insights into the architectural decisions behind XTDB's design and understand how it differs from traditional database systems in handling temporal aspects of data management. Examine real-world use cases where temporal databases provide significant advantages over conventional approaches, and learn about the challenges and solutions in implementing systems that need to maintain and query historical data states effectively.
