Data engineers used to prioritize pipeline creation over monitoring and alerting
These were not seen as pervasive issues, but rather as isolated incidents. Better Observability Data allows for the visibility of a bigger picture
Data engineers frequently turned to creating unique monitoring solutions, which required a lot of time and resources
While this approach proved effective in simpler contexts, Observability Data has grown to be a crucial component of the data engineering toolkit
Data observability technologies by 2026, up from less than 20% in 2024, to raise knowledge of the state of the data landscape at the moment
Due to new tools and a growing awareness of the costs of low-quality data, data engineers now prioritize Observability Data
Data observation and management throughout an organization's systems, pipelines, and processes ensures data availability
These technologies improve data system reliability and effectiveness by offering data pipeline visibility, anomaly identification, and proactive issue resolution
Neglecting indicators that signal Observability Data is needed could lead to negative organizational results