Zinātniskās darbības atbalsta sistēma
Latviešu English

Publikācija: Application of Microservices for Digital Transformation of Data-Intensive Business Processes

Publikācijas veids Publikācijas konferenču materiālos, kas ir indeksēti Web of Science un/vai SCOPUS
Pamatdarbībai piesaistītais finansējums Valsts budžeta finansējums izglītībai
Aizstāvēšana: ,
Publikācijas valoda English (en)
Nosaukums oriģinālvalodā Application of Microservices for Digital Transformation of Data-Intensive Business Processes
Pētniecības nozare 2. Inženierzinātnes un tehnoloģijas
Pētniecības apakšnozare 2.2. Elektrotehnika, elektronika, informācijas un komunikāciju tehnoloģijas
Pētniecības platforma Neviena
Autori Jānis Grabis
Jānis Kampars
Atslēgas vārdi Business Process Redesign, Digital Transformation, Data Analysis Model, Microservices
Anotācija Business processes are redesigned as a part of business process management lifecycle and data intensive activities such as image processing, prediction and classification are increasingly incorporated into business processes. Data intensive activities often involve usage of data analysis models. It is argued that successful development and execution of data intensive business processes requires synchronization of business process redesign and data analysis models development activities. The business process architecture integrating core business process with data analysis model setup and updating sub-processes is developed. Business process transformation stages for incorporating data-intensive activities are outlined. The process redesign and execution is supported by the technical architecture based on microservices. An example of business process redesign is discussed.
Hipersaite: http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0006805207360742 
Atsauce Grabis, J., Kampars, J. Application of Microservices for Digital Transformation of Data-Intensive Business Processes. No: ICEIS 2018: Proceedings of the 20th International Conference on Enterprise Information Systems, Portugāle, Funchal, 21.-24. marts, 2018. Lisbon: SciTePress, 2018, 736.-742.lpp. ISBN 978-989-758-298-1.
Papildinformācija Citējamību skaits:
  • Scopus  -1
ID 28520