Your Data Lake Didn’t “Scale” — It Just Got Slower and More Expensive
A scalable data lake is boring on purpose: predictable reliability, enforceable quality, and costs you can explain in a QBR. Here’s the architecture pattern that actually holds up when volumes 10x.
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