Отрывок: Figure 5. Creating a data warehouse model of EPICENTRE. In order to project Epicentre model into a set of expressions on DDL language, POSC Corporation proposes to use the tool to project Epicentre data model to the four types of Relational Database Management System (RDBMS) DDL: ANSI, Informix, Oracle, and Sybase. Based on the Epicentre 3.0 model and the subsets of the Epicentre “AC3 data model: Process Data”, “DM1: Docume...
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dc.contributor.authorK.F. Tagirova-
dc.contributor.authorA.R. Ramazanov-
dc.contributor.authorA.M. Vulfin-
dc.contributor.authorA.V. Nikonov-
dc.date.accessioned2018-05-22 10:05:28-
dc.date.available2018-05-22 10:05:28-
dc.date.issued2018-
dc.identifierDspace\SGAU\20180518\69656ru
dc.identifier.citationK.F. Tagirova. Architecture of data warehouse of the intelligent oil wells control system / K.F. Tagirova, A.R. Ramazanov, A.M. Vulfin, A.V. Nikonov // Сборник трудов IV международной конференции и молодежной школы «Информационные технологии и нанотехнологии» (ИТНТ-2018) - Самара: Новая техника, 2018. - С.2552-2558.ru
dc.identifier.urihttp://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Architecture-of-data-warehouse-of-the-intelligent-oil-wells-control-system-69656-
dc.descriptionОсновная статьяru
dc.description.abstractThe purpose of developing data warehouse architecture is improving the storage subsystem as part of an intelligent oil well control system. To achieve this goal, it is necessary to develop the structure and information model of the storage subsystem. It is proposed to expand the exploration and exploitation data model of the Epicentre oil fields by adding new entities and a hierarchy of links. Highly effective architectural templates, taking into account the specifics of the research object and the accumulated experience of industry experts, are used. This will reduce the costs for development of the data warehouse architecture and will provide an opportunity for integration with existing information systems of a higher level of control and management – MES, ERP – and with other software and hardware complexes of the current level.ru
dc.language.isoen_USru
dc.publisherНовая техникаru
dc.subjectsoftware system architectureru
dc.subjectintelligent control systemru
dc.subjectinformation modelru
dc.titleArchitecture of data warehouse of the intelligent oil wells control systemru
dc.typeArticleru
dc.textpartFigure 5. Creating a data warehouse model of EPICENTRE. In order to project Epicentre model into a set of expressions on DDL language, POSC Corporation proposes to use the tool to project Epicentre data model to the four types of Relational Database Management System (RDBMS) DDL: ANSI, Informix, Oracle, and Sybase. Based on the Epicentre 3.0 model and the subsets of the Epicentre “AC3 data model: Process Data”, “DM1: Docume...-
Располагается в коллекциях: Информационные технологии и нанотехнологии

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