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Where Modern Data Engineering Is Going: From ETL Pipelines to Agentic AI
Why does a modern enterprise need so many different data technologies? No enterprise sets out to run twelve overlapping data platforms. It happens because data engineering is not one problem — it is a stack of distinct engineering problems (movement, storage, transformation, governance, modeling, serving, intelligence) that historically got solved by different tools built by different vendors at different times, for different failure modes. The confusion architects run in
realdatacloud
2 hours ago5 min read
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