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Evaluating fine-grained events foran Event Sourcing proof-of-concept
KTH, School of Electrical Engineering and Computer Science (EECS).
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Data conversion for evolving events in an Event Sourcing System is a complex issue and needs to be maintainable. There are suggested ways handling data conversion today which combine different methods into a framework. However, there is a lack of exploration of different and alternative methods to handle the complicated matter.This thesis explores data conversion with fine-grained events. The purpose is to explore methods and broaden knowledge for handling data conversion while using attribute driven events called fine-grained events. The goal was to build a proof-of-concept that preserves the attributes reliability and availability and can handle data conversion of these specific events.The results found by using fine-grained events are a decrease in terms of system complexity and a proof-of-concept that maintains the desired attributes.

Abstract [sv]

Datakonvertering för utvecklande händelser i ett Event Sourcing System är en komplex fråga som kräver att systemet är enkelt underhållning. Det finns förslag på sätt att hantera datakonvertering idag, vilket kombinerar olika metoder i ett ramverk. Det finns emellertid en brist på undersökning av olika och alternativa metoder för att hantera den komplexa orsaken.Denna avhandling undersöker datakonvertering med finkorniga händelser. Syftet är att utforska metoder och utvidga kunskap för hantering av datakonvertering genom att använda attributdrivna händelser som kallas finkorniga händelser. Målet var att bygga ett proof-of-concept som bevarar egenskaperpålitlighet och tillgängligt och som dessa specifika händelser.även hanterar datakonvertering förResultaten som hittas genom att använda finkorniga händelser är en minskning av systemkomplexiteten och ett bevis på koncept som upprätthåller de önskade egenskaperna.

Place, publisher, year, edition, pages
2019. , p. 61
Series
TRITA-EECS-EX ; 2019:270
Keywords [en]
Event sourcing, data conversion, proof-of-concept, ne-grained events
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-254657OAI: oai:DiVA.org:kth-254657DiVA, id: diva2:1334567
Supervisors
Examiners
Available from: 2019-07-03 Created: 2019-07-03 Last updated: 2019-07-03Bibliographically approved

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fulltext(1124 kB)18 downloads
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CiteExportLink to record
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Citation style
  • apa
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