Metrics
Dive into how to manage metrics and how you can use them for in-depth analysis.
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Introduction to Metrics
Metrics provide quantifiable measurements to gauge performance, behavior, and other essential information. They facilitate in-depth analysis by offering insights not readily apparent from raw data.
Defining Metrics
Defining metrics involves several key parameters:
Name
The reference name for the metric, which must be unique across all metrics.
Description
Type
Type Parameters
How to create and edit a metric
In the Catalog section, click the Manage
button on the desired data source. Then, navigate to the Metrics
tab to create or edit a metric.
To better understand the structure, here’s an illustrative example of a metrics specification:
Supported Metric Types
Findly supports various metric types:
Simple metrics directly reference a measure. They can be thought of as a function accepting a single measure as input.
Example:
Simple metrics directly reference a measure. They can be thought of as a function accepting a single measure as input.
Example:
Cumulative metrics aggregate a measure over a defined time window. If no window is specified, the aggregation occurs over all time.
Example:
Derived metrics use expressions involving other metrics, enabling calculations based on existing metric values.
Example:
Ratio metrics compute a ratio between two metrics. Constraints can be applied to the numerator, denominator, or both.
Example:
When creating metrics, maintain consistency in definitions. Avoid overlapping names and ambiguity to ensure clarity.
Conclusion
Metrics are crucial for deriving actionable insights. Understanding the various metric types and their definitions will enable you to build comprehensive data models.