# Time Series (Collection of time data)

### Table of Contents

## About

A time series is sequential collection of data measured one by one:

- at fixed time intervals (for instance computer monitoring)
- or when it happens (for a business process or application)

A time-series is a list of observations, or events, each recorded at a specific time and described by a fixed number of features.

A time serie is a collection of data with the following properties:

- A metric name: A label to identify the measure, known in modeling as an entity set name.
- And optionally:
- A measure (generally a numeric value)
- A set of tags (key-value pairs) that describe the time series the point belongs to.

## Example

- The end date of several requests
- The arrival of merchandise at a checkpoint
- …

## Usage

Time series are the datatype of:

- business process metrics.
- machine data. Time Series management therefore lie at the heart of the Internet of Things (IoT).

## Other

A random variable that depend on time is called a (Stochastic|random) process. See: Process - (Stochastic|random) process