Hello @Novin George Thomas,
welcome to this moderated Azure community forum.
Azure Stream Analytics support single point anomaly detection. The difference with a tipping point alert is that it tries to figure out if there is an anomaly based on:
- the type of anomaly (spike, dip, etc.)
- the value to check
- the number of (past) messages to compare
- the expected duration these message arrive
- the confidence needed
With the query seen above, you first need to provide a stream having the values you want to check.
For each value, write an extra select having the anomaly detection.
Lastly, based on the outcome of the anomaly detection outcome, you can construct a message to output.
Check out this blog post with examples based on dip and spike anomaly detection. This also applies to ChangePoint anomaly detection.
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