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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">donstu</journal-id><journal-title-group><journal-title xml:lang="en">Advanced Engineering Research (Rostov-on-Don)</journal-title><trans-title-group xml:lang="ru"><trans-title>Advanced Engineering Research (Rostov-on-Don)</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2687-1653</issn><publisher><publisher-name>Don State Technical University</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.12737/19696</article-id><article-id custom-type="elpub" pub-id-type="custom">donstu-85</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>INFORMATION TECHNOLOGY, COMPUTER SCIENCE AND MANAGEMENT</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ИНФОРМАТИКА, ВЫЧИСЛИТЕЛЬНАЯ ТЕХНИКА И УПРАВЛЕНИЕ</subject></subj-group></article-categories><title-group><article-title>Technology of separate generation of multidimensional data</article-title><trans-title-group xml:lang="ru"><trans-title>Технология раздельного формирования многомерных данных</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Зыкин</surname><given-names>Сергей Владимирович</given-names></name><name name-style="western" xml:lang="en"><surname>Zykin</surname><given-names>Sergey V.</given-names></name></name-alternatives><email xlink:type="simple">szykin@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Мосин</surname><given-names>Сергей Владимирович</given-names></name><name name-style="western" xml:lang="en"><surname>Mosin</surname><given-names>Sergey V.</given-names></name></name-alternatives><email xlink:type="simple">svmosin@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Полуянов</surname><given-names>Андрей Николаевич</given-names></name><name name-style="western" xml:lang="en"><surname>Poluyanov</surname><given-names>Andrey N.</given-names></name></name-alternatives><email xlink:type="simple">andrey.poluyanov@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Институт математики им. С. Л. Соболева Сибирского отделения Российской академии наук</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2016</year></pub-date><pub-date pub-type="epub"><day>30</day><month>06</month><year>2016</year></pub-date><volume>16</volume><issue>2</issue><fpage>121</fpage><lpage>128</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Zykin S.V., Mosin S.V., Poluyanov A.N., 2016</copyright-statement><copyright-year>2016</copyright-year><copyright-holder xml:lang="ru">Зыкин С.В., Мосин С.В., Полуянов А.Н.</copyright-holder><copyright-holder xml:lang="en">Zykin S.V., Mosin S.V., Poluyanov A.N.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.vestnik-donstu.ru/jour/article/view/85">https://www.vestnik-donstu.ru/jour/article/view/85</self-uri><abstract><p>The research subject is the technology of generating the multivariable data representation with using separate formation of dimensions and measures. The purpose of the study is to provide a full level of the user’s work automation at the formation of new data cubes. In the course of investigation, the following problems are solved: the sequence of generating intermediate data representations is determined; the correctness of these representations is studied; efficient algorithms for generating the representations and checking their correctness are developed. The theoretical basis is the methods of the inter model mapping. Herewith, a classical relational model is used as a source data model, an extended model of the multidimensional data with unbalanced hierarchies in dimensions - as a target one. The work result is the multidimensional data construction technology. Consequently, the results obtained can be used by the analytical departments at various enterprises in processing large data volumes. The proposed technology of the multidimensional data formation is the traditional OLAP-technologies development.</p></abstract><trans-abstract xml:lang="ru"><p>Предметом исследования является технология формирования многомерного представления данных с использованием раздельного задания размерностей и мер. Цель - обеспечение максимального уровня автоматизации работы пользователей при формировании новых кубов данных. В ходе проведенных изысканий решены следующие задачи: определена последовательность формирования промежуточных представлений данных; исследована корректность этих представлений; разработаны эффективные алгоритмы формирования представления и проверки корректности. Теоретической основой исследования являются методы межмодельных преобразований данных. При этом в качестве исходной модели данных используется классическая реляционная модель, в качестве целевой - расширенная модель многомерных данных с несбалансированными иерархиями в размерностях. В результате проведенной работы представлена технология формирования многомерных данных. Полученные результаты могут использоваться аналитическими службами различных предприятий в процессе обработки значительных объемов данных. Предложенная технология формирования многомерных данных является развитием традиционных OLAP-технологий.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>гиперкуб</kwd><kwd>реляционная база данных</kwd><kwd>OLAP</kwd><kwd>hypercube</kwd><kwd>relational database</kwd><kwd>OLAP</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Vassiliadis, P. A survey of logical models for OLAP databases / P. Vassiliadis, T. Sellis // SIGMOD Record. - 1999. - Vol. 28, № 4. - P. 64-69.</mixed-citation><mixed-citation xml:lang="en">Vassiliadis, P., Sellis, T. A survey of logical models for OLAP databases. 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