Abstract

In today's world, the increase in the volume and variety of data used in the process of military management leads to an increase in the requirements for their storage and processing. To effectively manage military operations, it is necessary to have information about various aspects of military activity, such as the location of military units, the availability of resources, the assessment of potential threats, and much more. Modern military operations require the processing and analysis of a large amount of data generated in real time. Data collected from sensors, satellites, probes, sensors, and other sources can be vast in volume and diverse in structure. The increase in the volume and heterogeneity of data used in the process of military management leads to an increase in the requirements for their storage and processing. This presents military organizations with the task of creating effective and reliable data storage and processing systems. The article considers the possibilities of using «Big Data» technology, which allow collecting, storing, processing and analyzing large volumes of various data in real time. The use of modern data management technologies can help increase the efficiency of military activities and ensure fast and accurate decision-making at various levels of management. This can be achieved through the use of artificial intelligence, machine learning and data analysis technologies that can help military structures perform calculations and forecasts, optimize the use of resources and increase the efficiency of solving various tasks. Also, an important component of the effective use of «Big Data» technologies in the military sphere is ensuring the protection of data from unauthorized access, as well as ensuring the reliability and stability of data storage and processing systems in the face of possible cyberattacks. The article analyzes the Hadoop system, which can be used to store, process and analyze «Big Data» in the military sphere.

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