Comparative Analysis and Generalization of Apache Nifi, AWS, Azure Solutions for Workflow Management

Student: Busygina Polina

Faculty: Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod)

Educational Programme: Business Informatics (Master)

Year of Graduation: 2024

This work is aimed at studying and applying in practice data flow design tools - Apache NiFi and tools from the Azure and AWS clouds. The main part of the research was focused on resolving a problematic situation when the necessary information is stored in different sources and requires association. Also during the research, model-driven architecture approaches were used, which made it possible to build platform-independent models, platform-specific models for each data flow design tool, and rules for transforming these models.

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