Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...

VeriEQL, a new tool developed by researchers in SFU’s School of Computing Science and collaborators at the University of Michigan, enhances the semantics equivalence verification of complex SQL ...