Data is kind of like Newton’s first law of motion. Data is just that unless acted upon by something else. Time series data, therefore, is something you derive from data. We generally derive time series data to record historical observations about a physical or virtual system (for example, think of sensors and servers, respectively). However, not all time series data is the same. There are different use cases for time series data, and each has its own workload needs.
The US government handles massive quantities of data — via separate agencies and disconnected data systems. Having a central dashboard to track this data is absolutely essential for uncovering and sharing cybersecurity vulnerabilities before they can do harm to citizens or critical infrastructure.