2min chapter

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#150 Unlocking the Power of Data Science in the Cloud

DataFramed

CHAPTER

The Importance of a Database Engine in Analytics

Any industry that needs to make decisions in a quick enough period of time isn't critical. John, you mentioned bottlenecks and I'm curious to hear about are there any more examples of like analytic problems where it really benefits from that more powerful database engine in the middle? Yeah. Certainly. We're working with a high tech company around sustainability. So basically for all of their physical locations, they're attaching X and salt to be able to monitor energy consumption and usage in real time. And again, it's not just descriptive, it's predictive analytics as well.

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