Can accelerated data models handle pre-summarized data accurately? Take authentication messages for example. Most apps and operating systems will send one message per authentication attempt. But I've seen some solutions that will send a digest every five minutes or whatever showing the count of success/failed messages by user.
Are there settings that control how accelerated data models calculate the "count" if the messages contain a "count=X" field in it? And if so, can an accelerated data model handle a blend of raw and summarized events?
No, there is no way to handle data like this other than to break the event into 'count' singleton events. You could basteridze one of the other fields that already exist, such as `duration` or `response_time` but whatever you do, do NOT modify the datamodel itself (you will eventually have much pain and regret if you do).