The collection of time series data increases as more monitoring and automation are being
deployed. These deployments range in scale from an Internet of things (IoT) device located …

Manufacturing processes are becoming increasingly data-driven. Integrating manufacturing
data and process models in real-time, a digital twin (DT) may function as an autonomous …

Primary-secondary databases often have limited write throughput as they rely on a single
primary node. To improve this, some systems use a shared-nothing architecture for scalable …

A database approach to data of arbitrary types has shown that the architecture of a universal
database machine is restricting in a number of cases. There appear special-purpose data …

The well-known 3V architectural paradigm for Big Data introduced by Laney (2011),
provides a simplified framework for defining the architecture of a big data platform to be …

This work is devoted to choosing a DBMS in modern information systems. DBMS (Database
Management System) is a software package designed to define, manipulate, retrieve and …

Managing capital oil and gas and civil engineering facilities requires a large amount of
heterogeneous information that is generated by different project stakeholders across the …

The field of database technology has expanded to include diverse data models, leading to
the exploration of the polystore concept, which aims to provide unified management for …

Multidimensional array database systems are suited for scientific and engineering
applications. Data in these applications is often uncertain and imprecise due to errors in the …

Введение. Технические ограничения способов хранения информации второй половины
XX века сформировали одну из архитектурных особенностей систем управления …