Data observability is crucial in modern data environments due to increasing data volumes and operational demands. It involves understanding the health of an organization's data by monitoring and correlating data workload events across application, data, and infrastructure layers. A multidimensional data observability platform like Acceldata provides visibility into data, infrastructure, and pipelines, helping data engineers ensure optimal operations of their data infrastructure investments. Key features to look for in a data observability platform include data discovery, data quality rules, data drift detection, compute performance monitoring, pipeline monitoring, and ETL integration. Implementing such a platform can help organizations monitor, detect, predict, prevent, and resolve issues across their data, processing, and pipelines.