Research in Data Management - Challenges and Projects
Explore cutting-edge research in data management through this colloquium from the Paul G. Allen School. Dive into six diverse projects addressing modern challenges in the field, including processing large-scale data, improving output cardinality estimates, and developing new applications for database queries and optimizers. Learn about innovative approaches such as LightDB for virtual and augmented reality video management, customizing in-memory data storage for web applications, verified lifting in MapReduce frameworks, neural network-based cardinality estimation, detecting and resolving bias in OLAP queries, and automated reasoning of database queries. Gain insights into how researchers are tackling fundamental issues in data management across various domains of computer science.