In this paper, we explore different deployment models for data engines and elucidate their implications on data pipeline behavior. Specifically, we examine the impact on data sharing, data protection, pipeline uptime and latency, and the feasibility of moving segments of typical data engines to the edge. Our work demonstrates the consequences of various deployment strategies on non-functional properties of data pipelines, focusing on availability, performance, and privacy. By considering the interplay between data engine deployment and data pipeline requirements, stakeholders can make informed decisions to optimize the efficiency and effectiveness of data-driven systems.

Data Pipelines Assessment: The Role of Data Engine Deployment Models / C.A. Ardagna, V. Bellandi, M. Luzzara, A. Polimeno (CEUR WORKSHOP PROCEEDINGS). - In: SEBD Sistemi Evoluti per Basi di Dati / [a cura di] M. Atzori, P. Ciaccia, M. Ceci, F. Mandreoli, D. Malerba, M. Sanguinetti, A. Pellicani, F. Motta. - [s.l] : CEUR, 2024. - pp. 1-13 (( Intervento presentato al 32. convegno Symposium of Advanced Database Systems : June 23rd to 26th tenutosi a Villasimius nel 2024.

Data Pipelines Assessment: The Role of Data Engine Deployment Models

C.A. Ardagna
Primo
;
V. Bellandi
Secondo
;
M. Luzzara
Penultimo
;
A. Polimeno
Ultimo
2024

Abstract

In this paper, we explore different deployment models for data engines and elucidate their implications on data pipeline behavior. Specifically, we examine the impact on data sharing, data protection, pipeline uptime and latency, and the feasibility of moving segments of typical data engines to the edge. Our work demonstrates the consequences of various deployment strategies on non-functional properties of data pipelines, focusing on availability, performance, and privacy. By considering the interplay between data engine deployment and data pipeline requirements, stakeholders can make informed decisions to optimize the efficiency and effectiveness of data-driven systems.
Data Engine, Deployment Models, Non-Functional Assessment, Privacy;
Settore INFO-01/A - Informatica
2024
https://api.semanticscholar.org/CorpusID:271866043
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1118999
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