data processing

The article investigates the potential of serverless architectures for efficiently processing large-scale metadata generated by Internet of Things (IoT) sensors. As IoT systems grow increasingly complex, the challenges associated with processing vast amounts of data in distributed environments become more pronounced. Key issues include ensuring data accuracy, maintaining scalability, and reducing the operational costs of data processing infrastructure.

This research presents the development and implementation of information technology for monitoring and analyzing segments of a mobile operator's stores using clustering methods. The study addresses a pertinent issue in marketing and business optimization, namely the enhancement of strategies for the network of mobile communication stores.

The increasing demand for precision agriculture has prompted the integration of advanced technologies to optimize agricultural practices. This article presents an approach to agricultural field data processing using a cloud-based data pipeline. The system leverages data from various sensors deployed in the fields to collect real-time information on key parameters such as soil moisture, temperature, humidity, etc. The collected data is transmitted to the cloud where it undergoes a series of data processing and analysis stages.

The paper deals with the urgent issue of improving the professional software for text statistical analysis in accordance with the needs of specialists. Peculiarities and prospects of statistical research in linguistics are analyzed and information technology (IT) for determining the statistical profile of Ukrainian-language texts is developed. Complex work on modelling the software system was carried out, it was presented in the corresponding schemes and diagrams, which integrally reflect the functioning and purpose of the developed product.

The article is devoted to the problem of processing and analysis of large amounts of data. Today, with
the advent of sources of information that can produce large amounts of data, data collection is becoming
an increasingly complex institution. To solve this problem, a wide range of technologies for specific
purposes has been developed. However, most of them can be attributed to two paradigms of data
processing, namely streaming and batch. In this article, we will consider the above paradigms and

The basic system structures of synthesis of complex computer systems for the implementation of information-analytical systems in real time are studied in this paper. Namely hardware-based video streaming method, the method of determining the classes of functions that allow parallelization and the method of synthesis of parallel data processing are described.

The internet-accessible multi-user system of geodynamic monitoring data processing is presented. It is realized in the Java programming language as an interactive Web page which can be placed either on its own server of the awarding authority (Carpathian Branch of Subbotin name Institute of Geophysics of NAS of Ukraine) or on public Internet servers. Functionally the programs` complex consists of the following modules: module of receiving of geophysical information, database module, client modules, system administrator module.

The issues of cyber-physical systems creation and approaches to their solving are formed in the article. The base principles of the multilayer platform for Cyber-Physical Systems are formed in accordance with achievements and modern conceptions of computer, information and telecommunication technologies application. The structure of the multilayer platform for Cyber-Physical Systems are offered, its applications and functions are described.