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Last updated: March 22, 2026, 8:30 AM ET

Data Systems & Optimization

Engineers grappling with evolving data infrastructure are confronting the insidious growth of complexity, where business logic becomes scattered across numerous SQL scripts and scheduled jobs, ultimately creating a difficult-to-manage "SQL jungle" Escaping the SQL Jungle. Concurrently, researchers are advancing practical methods for tackling intricate modeling challenges by employing piecewise linear approximations handling nonlinear constrained models, which allows complex problems to be effectively solved using standard linear programming or mixed-integer programming solvers like Gurobi.