This article is devoted to the analysis of different credit scoring modeling techniques which can be used for the large datasets processing. Credit scoring is a basis of the banking system. There are lots if information gathered in the banks' databases which should be used in the scoring. This article describes the basic methods and technologies of scoring models development for the risk management of the banking system.

An overview of the technologies and methods is presented, on the basis of which the authors of this article model the processing of a large amount of data, developing a web application. In particular, it is proposed to combine models to improve the efficiency of processing large amounts of data. Large data set before traditional storage systems and processing a new challenge. This article analyzes possible methods their decisions, limitations that do not allow to do it effectively, and also provides an overview of three modern approaches to working with large data: NoSQL and real-time event flow processing. Analysis of large data requires the use of technology and the means to implement highly productive computing. The main factors of the problem are, first of all, the complexity and the second physical volume of the information collection. It should be noted that the actual processing of data includes the construction of the algorithm and the time for its description and debugging. Unique data collections require the development of unique algorithms, which increases the total processing time by an order of magnitude.

NAS RK is pleased to announce that News of NAS RK. Series of geology and technical sciences scientific journal has been accepted for indexing in the Emerging Sources Citation Index, a new edition of Web of Science. Content in this index is under consideration by Clarivate Analytics to be accepted in the Science Citation Index Expanded, the Social Sciences Citation Index, and the Arts & Humanities Citation Index. The quality and depth of content Web of Science offers to researchers, authors, publishers, and institutions sets it apart from other research databases. The inclusion of News of NAS RK. Series of geology and technical sciences in the Emerging Sources Citation Index demonstrates our dedication to providing the most relevant and influential content of geology and engineering sciences to our community. Қазақстан Республикасы Ұлттық ғылым академиясы "ҚР ҰҒА Хабарлары. Геология және техникалық ғылымдар сериясы" ғылыми журналының Web of Science-тің жаңаланған нұсқасы Emerging Sources Citation Index-те индекстелуге қабылданғанын хабарлайды. Бұл индекстелу барысында Clarivate Analytics компаниясы журналды одан әрі the Science Citation Index Expanded, the Social Sciences Citation Index және the Arts & Humanities Citation Index-ке қабылдау мәселесін қарастыруда. Webof Science зерттеушілер, авторлар, баспашылар мен мекемелерге контент тереңдігі мен сапасын ұсынады. ҚР ҰҒА Хабарлары. Геология және техникалық ғылымдар сериясы Emerging Sources Citation Index-ке енуі біздің қоғамдастық үшін ең өзекті және беделді геология және техникалық ғылымдар бойынша контентке адалдығымызды білдіреді. НАН РК сообщает, что научный журнал «Известия НАН РК. Серия геологии и технических наук» был принят для индексирования в Emerging Sources Citation Index, обновленной версии Web of Science. Содержание в этом индексировании находится в стадии рассмотрения компанией Clarivate Analytics для дальнейшего принятия журнала в the Science Citation Index Expanded, the Social Sciences Citation Index и the Arts & Humanities Citation Index. Web of Science предлагает качество и глубину контента для исследователей, авторов, издателей и учреждений. Включение Известия НАН РК. Серия геологии и технических наук в Emerging Sources Citation Index демонстрирует нашу приверженность к наиболее актуальному и влиятельному контенту по геологии и техническим наукам для нашего сообщества.

The article is devoted to the development of an information system for automating business processes of a modern enterprise with ensuring stability and reliability, which are implemented by the applications developed by the authors. Goal is to develop improvements to the core digitalization processes of enterprises for sustainable functioning. The authors carried out a deep analysis and described the main stages of the enterprise digitalization process: the process of document approval, business processes of personnel management, etc. The architecture of the information system, a description of business processes and the principles of reliability and fault tolerance of the system being developed have been developed. The developed desktop-client application provides connection to the information system with the help of working computers of the enterprise through a local network with access to the application server. This allows you to reduce damage from accidental or deliberate incorrect actions of users and administrators; separation of protection; a variety of means of protection; simplicity and manageability of the information system and its security system.

No abstract