Time series data is unstructured machine-generated sensor data that is continuously produced and collected by a wide range of applications and devices that make up the Internet of Things. Time series data is typically composed of:
- A unique identifier: One or more columns that identify the data source, for example, BuoyID or Vehicle Identification Number (VIN).
- A timecode: A timestamp or date indicating when the data was collected, for example: '2017-07-07 10:32:12.122200'.
- A sequence number: Data is stored first in the order in which it was collected. If different data arrives at exactly the same time, the sequence number differentiates between the data.
- Measurements: One or more measurements collected at a point in time, for example:
- Temperature, salinity, wave height, wave speed, and wave direction
- Engine temperature, oil temperature, oil pressure, tire inflation ratio