Authors:
Ana Ribeiro
1
;
Bruno Oliveira
2
and
Óscar Oliveira
2
Affiliations:
1
University of Trás-os-Montes and Alto Douro, Portugal
;
2
CIICESI, School of Management and Technology, Porto Polytechnic, Portugal
Keyword(s):
Data Pipelines, Business Process Model and Notation, Conceptual Modeling, Analytical Systems, Methodology.
Abstract:
Data pipelines play a crucial role in analytical systems by managing the extraction, transformation, and loading of data to meet decision-making needs, however, due to the inherent complexity of data management. Despite their importance, the development of data pipelines is frequently carried out in an ad-hoc manner, lacking standardized practices that ensure consistency and coherence across implementations. In recent years, the Business Process Model and Notation (BPMN) has emerged as a powerful tool for conceptual modeling in diverse analytical and operational scenarios. BPMN offers an expressive framework capable of representing a wide range of data processing requirements, enabling structured and transparent design. This work explores the application of BPMN to data integration pipeline modeling, analyzing existing methodologies and proposing a standardized set of guidelines to enhance its use.