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Last updated: March 22, 2026, 7:30 AM ET

Data Engineering & Optimization

Data platform complexity often accumulates incrementally, evolving query by query until business logic becomes deeply embedded across disparate SQL scripts, dashboards, and scheduling utilities, creating an unmanageable system. Researchers are examining methods to manage this inherent complexity, particularly in optimization, where piecewise linear approximations offer a viable pathway to apply established LP/MIP solvers like Gurobi to inherently nonlinear constrained models.