data processing

The article examines current issues related to the legal aspects of personal data protection in the context of ensuring information security amid the digitalization of society. It argues that personal data are among the most vulnerable assets in today’s information environment, and that improper processing or leaks can lead to significant violations of human rights and freedoms, undermine trust in state institutions, and create threats to national security.

In a world where the amount of electronic data is growing at a rapid pace every day, businesses face a new challenge: how to maintain control over information, make it secure, yet at the same time accessible and useful. The authors of the article see the answer to this question in the implementation of an ITSM component that ensures compliance with the international SOC 2 Type 2 standard. This standard is a kind of ‘trust mark’ for companies, as it confirms their ability to guarantee data security, confidentiality, and integrity.

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.