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Data engineering in 2026 sits at the center of almost every serious AI, analytics, and automation initiative. While AI models attract attention, it is data engineering that determines whether those models work consistently in production. Organizations have learned that weak pipelines create unreliable insights, broken dashboards, and unstable AI systems, regardless of how advanced the … Read more