In the push to become data-driven, many organizations have modernized their infrastructure, but not their workflows. Cloud platforms now offer unprecedented scale, but data engineering still carries the weight of legacy baggage: brittle pipelines, hand-coded SQL transformations, and constant rework to unify fragmented records. Even as AI reshapes analytics and applications, the underlying data stack […]
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