Why Oklahoma Startups Are Outgrowing Their DIY Databases
By John Wassilak
When your app database moonlights as your analytics store, it breaks. The signs an Oklahoma startup has outgrown its DIY database, and what to do next.
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Perspectives on upstream data infrastructure, A&D readiness, and what it actually takes to build a clean data asset in oil and gas.
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By John Wassilak
When your app database moonlights as your analytics store, it breaks. The signs an Oklahoma startup has outgrown its DIY database, and what to do next.
Read moreBy John Wassilak
ThoughtWorks moved Text to SQL to Hold. For upstream operators it's the right call, and a governed semantic layer is why.
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The analytics you can credibly run on an asset are bounded by what it measures. Buying above that line does not raise the ceiling.
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The gap between sub-daily telemetry and the daily production number is where most unrealized operational value sits.
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A licensing model priced per tag teaches your engineers to want fewer sensors. That is the opposite of where every operator says it is going.
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