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@article{1676363,
author = {Macák, Martin and Ge, Mouzhi and Bühnová, Barbora},
article_number = {4},
doi = {http://dx.doi.org/10.1142/S0218843020300016},
keywords = {Big Data;Big Data architecture;cross-domain comparison;domain-specific architectures; architectural variety},
language = {eng},
issn = {0218-8430},
journal = {International Journal of Cooperative Information Systems},
title = {A Cross-domain Comparative Study of Big Data Architectures},
url = {https://www.worldscientific.com/doi/abs/10.1142/S0218843020300016},
volume = {29},
year = {2020}
}
TY - JOUR
ID - 1676363
AU - Macák, Martin - Ge, Mouzhi - Bühnová, Barbora
PY - 2020
TI - A Cross-domain Comparative Study of Big Data Architectures
JF - International Journal of Cooperative Information Systems
VL - 29
IS - 4
SP - 1-27
EP - 1-27
SN - 02188430
KW - Big Data;Big Data architecture;cross-domain comparison;domain-specific architectures
KW - architectural variety
UR - https://www.worldscientific.com/doi/abs/10.1142/S0218843020300016
L2 - https://www.worldscientific.com/doi/abs/10.1142/S0218843020300016
N2 - Nowadays, a variety of Big Data architectures are emerging to organize the Big Data life cycle. While some of these architectures are proposed for general usage, many of them are proposed in a specific application domain such as smart cities, transportation, healthcare, and agriculture. There is, however, a lack of understanding of how and why Big Data architectures vary in different domains and how the Big Data architecture strategy in one domain may possibly advance other domains. Therefore, this paper surveys and compares the Big Data architectures in different application domains. It also chooses a representative architecture of each researched application domain to indicate which Big Data architecture from a given domain the researchers and practitioners may possibly start from. Next, a pairwise cross-domain comparison among the Big Data architectures is presented to outline the similarities and differences between the domain-specific architectures. Finally, the paper provides a set of practical guidelines for Big Data researchers and practitioners to build and improve Big Data architectures based on the knowledge gathered in this study.
ER -
MACÁK, Martin, Mouzhi GE a Barbora BÜHNOVÁ. A Cross-domain Comparative Study of Big Data Architectures. \textit{International Journal of Cooperative Information Systems}. 2020, roč.~29, č.~4, s.~1-27. ISSN~0218-8430. Dostupné z: https://dx.doi.org/10.1142/S0218843020300016.
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