The 12 Key Metrics Every Data Engineer Must Care About

The blog ranks 12 common failure metrics for data engineers, starting from the least relevant ones like Mean Time To Failure (MTTF) to the most important ones such as Mean Down Time (MDT). MTBF and MTTR are also considered key metrics that all data teams should employ. A continuous data observability platform like Acceldata can help optimize these failure metrics by automating anomaly detection, workflows, RCA, fixes application, and more.