Time-series data collectively represents how a system, process or behavior changes over time.
Time isn't just a metric, but a primary axis.
Today's applications are capturing and analyzing more and more data in faster ways than before. Whether it be cars collecting data about the environment around them, or a building sensor collecting data about temperature & conditions, this data needs to be stored and analyzed based on how things change over time.
Capturing, storing and analyzing time-series data, regardless of their application, share common patterns. To do this well at scale, you want to optimize the system for these situations: