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Machine Data | MachineMetrics Developers

We collect many different data points from all connected machines. We call the stream of observations about a specific state or property of a machine a "metric". A single observation is called an event. In other words: each event represents an observation of a value at a certain point in time, the eventTime. The value can either be a scalar (numeric, string) or expressed as a set of attributes (e.g., x, y, and z). There are different categories of data which we describe in the following chapter.



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Machine Data | MachineMetrics Developers

https://developers.machinemetrics.com/docs/guides/data-catalog/machine-data

We collect many different data points from all connected machines. We call the stream of observations about a specific state or property of a machine a "metric". A single observation is called an event. In other words: each event represents an observation of a value at a certain point in time, the eventTime. The value can either be a scalar (numeric, string) or expressed as a set of attributes (e.g., x, y, and z). There are different categories of data which we describe in the following chapter.



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https://developers.machinemetrics.com/docs/guides/data-catalog/machine-data

Machine Data | MachineMetrics Developers

We collect many different data points from all connected machines. We call the stream of observations about a specific state or property of a machine a "metric". A single observation is called an event. In other words: each event represents an observation of a value at a certain point in time, the eventTime. The value can either be a scalar (numeric, string) or expressed as a set of attributes (e.g., x, y, and z). There are different categories of data which we describe in the following chapter.

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