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Not every data store is built for the same job. Put the wrong workload in the wrong place, and you’ll end up with cost overruns, performance issues, and frustrated teams. In this episode, we’ll break down what each of these architectures is, how they differ, and—most importantly—when to use each one.
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By Roland BrownNot every data store is built for the same job. Put the wrong workload in the wrong place, and you’ll end up with cost overruns, performance issues, and frustrated teams. In this episode, we’ll break down what each of these architectures is, how they differ, and—most importantly—when to use each one.
Sign Up to our newsletter: www.thedatajourney.com