As companies store, process, and analyse bigger and bigger volumes of highly heterogeneous data, novel research and technological challenges are emerging. Traditional and rigid data integration and processing techniques become inadequate for a new class of data-intensive applications. There is a need for new architectural, software, and hardware solutions that are capable of providing dynamic data integration, assuring high data quality, and offering safety and security mechanisms, while facilitating online data analysis. In this context, we propose moduli, a novel disaggregated data management reference architecture for data-intensive applications that organizes d+ata processing in various zones. Working on moduli allowed us also to identify open research and technological challenges.

moduli: A Disaggregated Data Management Architecture for Data-Intensive Workflows / Ceravolo, Paolo; Catarci, Tiziana; Console, Marco; CUDRE-MAUROUX, Philippe; Groppe, Sven; HOSE JAROSLAV POKORNY, Katja; ROMERO and ROBERT WREMBEL, Oscar. - In: SIGWEB NEWSLETTER. - ISSN 1931-1745. - 2024:Winter(2024), pp. 1-16. [10.1145/3643603.3643607]

moduli: A Disaggregated Data Management Architecture for Data-Intensive Workflows

TIZIANA CATARCI
;
MARCO CONSOLE
;
2024

Abstract

As companies store, process, and analyse bigger and bigger volumes of highly heterogeneous data, novel research and technological challenges are emerging. Traditional and rigid data integration and processing techniques become inadequate for a new class of data-intensive applications. There is a need for new architectural, software, and hardware solutions that are capable of providing dynamic data integration, assuring high data quality, and offering safety and security mechanisms, while facilitating online data analysis. In this context, we propose moduli, a novel disaggregated data management reference architecture for data-intensive applications that organizes d+ata processing in various zones. Working on moduli allowed us also to identify open research and technological challenges.
2024
information systems; data management systems; data integration; provenance; data quality; data cleaning; metadata management; in-database machine learning
01 Pubblicazione su rivista::01a Articolo in rivista
moduli: A Disaggregated Data Management Architecture for Data-Intensive Workflows / Ceravolo, Paolo; Catarci, Tiziana; Console, Marco; CUDRE-MAUROUX, Philippe; Groppe, Sven; HOSE JAROSLAV POKORNY, Katja; ROMERO and ROBERT WREMBEL, Oscar. - In: SIGWEB NEWSLETTER. - ISSN 1931-1745. - 2024:Winter(2024), pp. 1-16. [10.1145/3643603.3643607]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1707350
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