The article deals with new information technologies for building a data warehouse in a distributed information system of critical application. The existing principles of creating data warehouses, as well as the outlined ways to improve them, are always associated with the collection, storage and use of information that is recorded at a certain point in time, while they store data corresponding to the last time count. This approach to the development and application of data warehouses can be called static, since it does not store or display the behavior of objects at past points in time. However, the objects that are included in the data warehouse have pronounced dynamic properties and therefore must be displayed dynamically. The way out of this situation is the creation of analytical data warehouses, which will provide an opportunity to more effectively solve traditional and qualitatively new tasks in the system under consideration.
Database, data warehouse, information and analytical system, data mining and processing, decision support system, data processing system, analytical database
1. Buslenko, N.P. Modelirovanie slozhnyh sistem / N.P. Buslenko. - M.: Nauka, 1978. - 399 s.
2. Deyt, K.Dzh. Vvedenie v sistemy baz dannyh / K.Dzh. Deyt. - M.: Dialektika, 2019. - 1327 s.
3. Optimizaciya struktur dannyh v ASU / A.G. Mamikonov, A.A. Ashimov, V.V. Kul'ba [i dr.]. - M. : Nauka, 1988. - 256 s.
4. Hansen, G. Bazy dannyh: razrabotka i upravlenie / G. Hansen, Dzh. Hansen. - M.: Binom,1999. - 704 s.
5. Metodologicheskie osnovy intellektual'noy zaschity informacii ot nesankcionirovannogo dostupa v avtomatizirovannyh sistemah upravleniya kriticheskogo primeneniya / M.V. Bochkov, O.V. Lankin, O.Yu. Makarov, E.A. Rogozin. - Voronezh, 2011. - 366s.
6. Lankin, O.V. Model' sistemy obnaruzheniya anomal'nogo povedeniya sub'ektov dostupa v raspredelennyh infokommunikacionnyh setyah kriticheskogo primeneniya / O.V. Lankin, V.V. Suhanov // Vestnik Voronezhskogo instituta FSIN Rossii. - 2019. - № 2. - S. 75-81.
7. Popov, S.G. Obzor metodov dinamicheskogo raspredeleniya dannyh v raspredelennyh sistemah upravleniya bazami dannyh / S.G. Popov, V.S. Fridman // Nauchno-tehnicheskie vedomosti Sankt-Peterburgskogo gosudarstvennogo politehnicheskogo universiteta. Informatika. Telekommunikacii. Upravlenie. - 2018. - T. 11, № 4. - S. 82-107.
8. Kotenko, I. Parallel big data processing system for security monitoring in internet of things networks / I. Kotenko, I. Saenko, A. Kushnerevich // Journal of wireless mobile networks, ubiquitous computing, and dependable applications. - 2017. - Vol. 8. - Pp. 60-74.
9. Kotenko, I. Machine learning and big data processing for cybersecurity data analysis / I. Kotenko, I. Saenko, A. Branitskiy // Intelligent systems reference library. - 2020. -Vol. 177. - Pp. 61-85.
10. Method and algorithms of visual audit of program interaction / M.V. Buinevich, K.E. Izrailov, I.V. Kotenko, P.A. Kurta // Journal of internet services and information security. - 2021. - Vol. 11. - Pp. 16-43.
