Like many application domains Big Data has become a very important driver for innovation and growth for e-government which aims to automate the public services to citizens. In general, e-government systems are often characterized as big data systems in which data storage and processing is one of the business-critical concerns. However, different features are required for different e-government systems, and likewise the corresponding big data architectures will need to be different as well. In this chapter, we present a systematic approach for the design of various big data architectures within the e-government domain. In this context, we adopt a big data reference architecture with a variability model for big data systems and e-government systems. We discuss the design decisions, the experiences and the lessons learned for deriving application architectures for different e-government systems.
|Title of host publication||Software Engineering for Variable Intensive Systems|
|Subtitle of host publication||Foundations and Applications|
|Editors||Ivan Mistrik, Matthias Galster, Bruce R. Maxim|
|Place of Publication||New York|
|Publisher||Taylor & Francis|
|Publication status||Published - 15 Jan 2019|
Tekinerdogan, B., & Uzun, B. (2019). Design of Variable Big Data Architectures for E-Government Domain. In I. Mistrik, M. Galster, & B. R. Maxim (Eds.), Software Engineering for Variable Intensive Systems : Foundations and Applications (pp. 141-159). Taylor & Francis. https://doi.org/10.1201/9780429022067-11