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Anomaly detection in Real-Time hub helps you automatically identify unusual patterns or outliers in your Eventhouse tables by applying recommended models based on the structure of your data. It allows you to visualize anomalies, adjust detection sensitivity, and set up continuous monitoring with automated alerts or actions.
Important
This feature is in preview.
View anomaly detection events detail page
In Real-Time hub, select Fabric events under the Subscribe to category.
Select Anomaly detection events from the list.
In the Anomaly detection events page, select an event to view its details or select Set alert to set an alert for the event.
Schemas
An event has the following top-level data:
| Property | Type | Description | Example |
|---|---|---|---|
source |
string | Identifies the context in which an event happened. | <tenant-id> |
subject |
string | Identifies the subject of the event in the context of the event producer. | /workspaces/<workspace-id>/items/<ad-item-id>/configuration/<configuration-id> |
type |
string | One of the registered event types for this event source. | Microsoft.Fabric.AnomalyEvents.AnomalyDetected |
time |
timestamp | The time the event is generated based on the provider's UTC time. | 2017-06-26T18:41:00.9584103Z |
id |
string | Unique identifier for the event. | <Required-GUID> |
specversion |
string | The version of the Cloud Event spec. | 1.0 |
dataschemaversion |
string | The version of the data schema. | 1.0 |
data |
object | Event data. | See the next table for details. |
The data object has the following properties:
| Property | Type | Description | Example |
|---|---|---|---|
analysisType |
string | Type of analysis performed. | univariate |
confidenceScore |
number | Confidence score of the anomaly detection. | 0.95 |
timeStampAttributeName |
string | Name of the timestamp attribute used in the analysis. | StartTime |
timeStampAttributeValue |
string | Value of the timestamp attribute at the time of the anomaly detection. | 2017-06-26T18:41:00.9584103Z |
univariate |
object | Contains details of the univariate analysis. | See the next table for details. |
customAttributes |
object | Contains any custom attributes associated with the anomaly detection. | See the next table for details. |
The univariate object has the following properties:
| Property | Type | Description | Example |
|---|---|---|---|
instanceIdAttributeNames |
string | Name of the instance ID attribute used in the analysis. | SkuId |
instanceIdAttributeValues |
string | Value of the instance ID attribute at the time of the anomaly detection. | sku-12345 |
monitoredAttributeName |
string | Name of the monitored attribute used in the analysis. | Temperature |
monitoredAttributeValue |
string | Value of the monitored attribute at the time of the anomaly detection. | 90 |
The customAttributes object has the following properties:
| Property | Type | Description | Example |
|---|---|---|---|
SkuId |
string | Unique identifier for the SKU. | sku-12345 |
Temperature |
number | Temperature value at the time of the anomaly detection. | 90 |
Humidity |
number | Humidity value at the time of the anomaly detection. | 50 |
Location |
string | Location where the anomaly was detected. | Kitchen |
Status |
string | Status of the anomaly detection. | Normal |