Businesses depend on data for everything; from dashboards to machine learning models to real-time decision making. But what happens when your data is incorrect or missing?
To put this into context, imagine driving a car without your dashboard. You wouldn’t know your speed, your fuel level, or get an alert at all if there was something wrong under the bonnet. That’s what managing a modern data system feels like without data observability.
In this guide, we’ll break down what data observability is, why it matters, and how you can start applying it to build confidence in your data systems.
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