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“Production” in Data Analytics

Joey Jablonski brings up an important point:

Data-driven environments have a fundamentally different set of needs around testing, deployment, and visibility then traditional business applications. Data driven environments need access to fresh data on a high level of update frequency to ensure that data engineers and data scientists are able to effect outputs and recommendations on a timeline that has a positive impact on business decisions and customer experiences.

My day job involves running a predictive analytics team. We train models on production data—there’s very little value in training models on artificial dev data (outside of understanding the parameters of the modeling process), so even our development data generally comes from production. I don’t know that I’m sold on data mesh as a solution to this but it’s worth investigation.