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Changes for page eMagiz State Generation

Last modified by Erik Bakker on 2024/08/13 12:05
From version 22.1
edited by Carlijn Kokkeler
on 2023/07/10 15:13
Change comment: There is no comment for this version
To version 23.1
edited by Carlijn Kokkeler
on 2023/07/10 15:14
Change comment: There is no comment for this version

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33 33  
34 34  ==== 4.2 Aggregation ====
35 35  
36 -Secondly, stateful data can be obtained through aggregating data. Aggregation concerns a computation over a certain range of time, such as an average, minimum or maximum. Moreover, with state generation it is possible to define a trend, and recognize patterns in this trend. An advantage here, is that temporary states can be retrieved, instead of saving data for a longer period of time.
36 +Secondly, stateful data can be obtained through aggregating data. Aggregation concerns a computation over a certain range of time, such as an average, minimum or maximum. Moreover, with state generation it is possible to define a trend, and recognize patterns in this trend. An advantage here, is that temporary states can be retained, instead of saving data for a longer period of time.
37 37  
38 38  An example of aggregation is that, when the number of people working from home, or working at the office is stored, the average number of people working at home or at the office during the past 30 minutes can be determined.
39 39