Data analysis plays a significant role in extracting meaningful information from big data. Data analysis consists of acquisition, storage, management, analytics, and visualization. Providing an abstract view of data analytics applications is crucial to ensure that the data will transfer into meaningful information. Data Architecture is one of the ways to provide that. This article shows industrial experiences in building data analytics architecture (DAA). We use model-driven engineering to model a data-analytics architecture for applications using DAT. We evaluated this work by modeling Analytics Data Warehouses as a case study from one company, receiving feedback.

Modeling Data Analytics Architecture for IoT Applications using DAT

Abughazala, M;Muccini, H
2023-01-01

Abstract

Data analysis plays a significant role in extracting meaningful information from big data. Data analysis consists of acquisition, storage, management, analytics, and visualization. Providing an abstract view of data analytics applications is crucial to ensure that the data will transfer into meaningful information. Data Architecture is one of the ways to provide that. This article shows industrial experiences in building data analytics architecture (DAA). We use model-driven engineering to model a data-analytics architecture for applications using DAT. We evaluated this work by modeling Analytics Data Warehouses as a case study from one company, receiving feedback.
2023
978-1-6654-6459-8
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/224182
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