TY - GEN
T1 - Agile Data Management in NAV
T2 - 23rd International Conference on Agile Software Development, XP 2022
AU - Vestues, Kathrine
AU - Hanssen, Geir Kjetil
AU - Mikalsen, Marius
AU - Buan, Thor Aleksander
AU - Conboy, Kieran
N1 - Publisher Copyright:
© 2022, The Author(s).
PY - 2022
Y1 - 2022
N2 - To satisfy the need for analytical data in the development of digital services, many organizations use data warehouse, and, more recently, data lake architectures. These architectures have traditionally been accompanied by centralized organizational models, where a single team or department has been responsible for gathering, transforming, and giving access to analytical data. However, such centralized models presuppose stability and are incompatible with agile software development where applications and databases are continuously updated. To achieve more agile forms of data management, some organizations have therefore begun to experiment with distributed data management models such as “data meshes”. Research on this topic is however limited. In this paper, we report findings from a case study of a public sector organization in Norway that has begun the transition from centralized to distributed data management, outlining both the benefits and challenges of a distributed approach.
AB - To satisfy the need for analytical data in the development of digital services, many organizations use data warehouse, and, more recently, data lake architectures. These architectures have traditionally been accompanied by centralized organizational models, where a single team or department has been responsible for gathering, transforming, and giving access to analytical data. However, such centralized models presuppose stability and are incompatible with agile software development where applications and databases are continuously updated. To achieve more agile forms of data management, some organizations have therefore begun to experiment with distributed data management models such as “data meshes”. Research on this topic is however limited. In this paper, we report findings from a case study of a public sector organization in Norway that has begun the transition from centralized to distributed data management, outlining both the benefits and challenges of a distributed approach.
KW - Agile software development
KW - Case study
KW - Data mesh
KW - Distributed data management
KW - Empirical
UR - https://www.scopus.com/pages/publications/85133015869
U2 - 10.1007/978-3-031-08169-9_14
DO - 10.1007/978-3-031-08169-9_14
M3 - Conference Publication
AN - SCOPUS:85133015869
SN - 9783031081682
T3 - Lecture Notes in Business Information Processing
SP - 220
EP - 235
BT - Agile Processes in Software Engineering and Extreme Programming - 23rd International Conference on Agile Software Development, XP 2022, Proceedings
A2 - Stray, Viktoria
A2 - Stol, Klaas-Jan
A2 - Paasivaara, Maria
A2 - Kruchten, Philippe
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 13 June 2022 through 17 June 2022
ER -