Companies used to just keep “data” a few years ago. Today, data drives decisions, automation, AI systems, and even customer experiences. But before dashboards, machine learning models, or AI applications can use data, it must be properly collected, cleaned, and organized. This is where Data Engineering comes in. If you’ve heard terms like pipelines, big…
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