database

The aim of this article is to develop the structure of the users’ motivational intentions database of the web community for supply and demand of educational services and evaluation the quality of its information content. This makes it possible to effectively communicate and satisfaction the needs of users who are looking for a necessary training course or offer their services in acquiring the necessary knowledge, skills and abilities.

Cold-chain logistics needs decisions that are fast in operation and defensible at audit. This article presents a compact, evidence-centric workflow for service-level agreements (SLAs). SLA clauses are encoded as smart- contract rules on a permissioned blockchain with Byzantine fault-tolerant consensus (Hyperledger Fabric).

The article addresses challenges related to climate change research. It provides an overview of contemporary information technologies that facilitate the design of highly efficient climate monitoring information systems, specifically in terms of processing speed and data completeness.

The article describes the issues of designing an information monitoring system for assessing the ecological state of the reserve territory. An information model of the system has been developed taking into account the parameters of the state of air, surface water, and soil in the "Roztochchya" nature reserve; in particular, attention is focused on the features of the biological diversity of the Vereshchytsky and Stavchansky branches of the reserve.

The article examines the overall process of designing and future development of a warehouse management system, which is being developed with a focus on improving its operational efficiency. The main emphasis was placed on modeling methods of key business processes to optimize the main operations of the warehouse, as well as a detailed review of the desired database structure, which would serve as a datastore for storing various data about goods, their movement, and operations involving them.

The rapid growth of the Internet of Things (IoT) has revolutionized the logistics industry by enabling real-time tracking and monitoring of goods throughout the supply chain. However, the immense volume of telemetric data generated by IoT devices presents significant challenges in terms of scalability, data integrity, and security for traditional database solutions. This paper explores the applicability of blockchain technology as an alternative for storing and managing IoT telemetric data in logistics.

In this research, an analysis of the qualitative characteristics of messages in the Telegram messenger was carried out, which are used as raw data for further analysis of textual content. A thorough review of the parameters of these messages, such as their format, size, presence of noise, and speed. The main goal of the article is to model the optimal approach to saving a large amount of data before the important stage of text analysis. During the research, a detailed analysis of literary sources devoted to this topic was carried out.