Skip to Content

Changes for page eMagiz State Generation

Last modified by Erik Bakker on 2024/08/13 12:05
From version 13.1
edited by Carlijn Kokkeler
on 2023/07/07 13:57
Change comment: There is no comment for this version
To version 15.1
edited by Carlijn Kokkeler
on 2023/07/07 14:00
Change comment: There is no comment for this version

Summary

Details

Page properties
Content
... ... @@ -49,7 +49,7 @@
49 49  
50 50  == 6. Use Cases ==
51 51  
52 -In the following, real-life implementations are given on how eMagiz State Generation has been realized through (i) enrichment, (ii) aggregation, (iii) change detection, and (iv) duplicate detection.
52 +In the following, real-life implementations are given on how eMagiz State Generation has been realized through enrichment, aggregation, change detection, and duplicate detection.
53 53  
54 54  ==== 6.1 Enrich ====
55 55  
... ... @@ -85,7 +85,7 @@
85 85  == 4. Key Takeaways ==
86 86  
87 87  * State generation concerns the generation of a stateful application or service
88 - Stateful refers to the concept of storing a state of an object
88 +* Stateful refers to the concept of storing a state of an object
89 89  * Storing a state is different compared to data in transit which is often refered as stateless data (eMagiz doesn't store or update the data when sending across)
90 90  * Stateful can be applied across all patterns in eMagiz and is embedded into the platform in such a way that it provided the same user experience
91 91  * Stateful data can be generated through four main operations: enrich, aggregation, change detection, duplicate detection