In Control Theory, Observability is defined as a measure of how well internal states of a system can be inferred observing its external outputs.  In IT practices, Observability extends more traditional monitoring practices to improve management of complex distributed solutions.  “Data observability” is the blanket term for understanding the health and the state of data in your system. Essentially, data observability covers an umbrella of activities and technologies that, when combined, allow you to identify, troubleshoot, and resolve data issues in near real-time.  In this session, we will discuss the challenges modern enterprises are facing when dealing with data coming from both internal and external sources when data schema and quality are not under its full control.  Find out how data observability will be a critical tool for data engineers to meet the growing data demands of enterprises.