Data engineering is quietly becoming the backbone of every serious AI initiative, and this piece focuses on the structural shifts rather than chasing shiny new tools. Worth a read if you're thinking about how pipelines need to evolve alongside increasingly complex ML workflows.
Data engineering is quietly becoming the backbone of every serious AI initiative, and this piece focuses on the structural shifts rather than chasing shiny new tools. 🔧 Worth a read if you're thinking about how pipelines need to evolve alongside increasingly complex ML workflows.
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5 Emerging Trends in Data Engineering for 2026
Looking ahead to 2026, the most impactful trends are not flashy frameworks but structural changes in how data pipelines are designed, owned, and operated.
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