Logical big data integration and near real-time data analytics

Article Computer Science, Information Systems

Data variety, come as you are in multi-model data warehouses

Sandro Bimonte et al.

Summary: This study investigates the performance of multi-model DBMSs in storing multidimensional data for OLAP analysis. Multi-model data warehouses store each element according to its native model, bridging the gap between data lakes and data warehouses, reducing ETL costs, and ensuring flexibility, extensibility, and evolvability. While the fully relational implementation generally outperforms the multi-model one, the latter benefits from dealing with data variety.

INFORMATION SYSTEMS (2022)

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Article Computer Science, Interdisciplinary Applications

Vertical data continuity with lean edge analytics for industry 4.0 production

Thomas Kuefner et al.

Summary: Industry 4.0 is characterized by the digitization and networking of machines and systems in production, allowing for autonomous monitoring, control, and optimization of value creation processes. However, challenges remain in developing scalable and high-performing solutions to handle the increasing volumes of real-time data. This study presents an approach to address these challenges by achieving vertical data continuity through decentralized signal acquisition and simultaneous data evaluation, without reliance on time-consuming external cloud solutions.

COMPUTERS IN INDUSTRY (2021)

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Article Computer Science, Hardware & Architecture