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Tag Databases

Mastering Efficient Big-Visual-Data Access with VDMS for Machine Learning Workloads

In an era where big data reigns supreme, how we access and utilize that data becomes crucial. The Visual Data Management System (VDMS) is a cutting-edge approach designed to make accessing big-visual-data like images and videos more efficient, particularly for… Continue Reading →

Revolutionizing Database Performance: The Impact of FITing-Tree Index Structure

In today’s data-driven world, efficient database indexing has never been more critical. As databases continue to grow in size, database administrators (DBAs) face increasing challenges in managing performance and resource consumption. One innovative approach that has emerged is the FITing-Tree… Continue Reading →

MacroBase: Prioritizing Attention in Fast Data Analytics

In today’s data-driven world, the increase in data volumes has posed significant challenges for manual inspection and analysis. As the amount of data continues to rise exponentially, it becomes increasingly difficult for humans to sift through and prioritize attention to… Continue Reading →

Rethinking Serializable Multiversion Concurrency Control: Boosting Concurrency Without Sacrificing Serializability

In the world of database systems, achieving a high level of concurrency while maintaining transaction serializability is a long-standing challenge. Traditional database systems rely on locking and strict serial execution to ensure correctness, but these techniques often limit concurrency and… Continue Reading →

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