Organizations of all sizes strive to proclaim the badge of honor that their company is “data-driven.” No decision should be made without the corroborative analysis to support the answered question causing the decision, but what if your business is asking the wrong questions? It is common for data consumers to toss idealistic requirements over the fence without understanding the data sources at large, as this responsibility falls to the data engineer who works with the data daily. To transition from data to information, data engineers must cultivate a habit of acting as curious challengers on behalf of the data they are working with and be given the power of a stakeholder within the data manipulation process.
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