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Proceedings of the Institute for System Programming of the RAS, 2017, Volume 29, Issue 2, Pages 117–160
DOI: https://doi.org/10.15514/ISPRAS-2017-29(2)-5
(Mi tisp213)
 

This article is cited in 4 scientific papers (total in 4 papers)

Data management: 25 years of forecasts

S. D. Kuznetsovabc

a Moscow Institute of Physics and Technology (State University)
b Lomonosov Moscow State University
c Institute for System Programming, Russian Academy of Sciences
Full-text PDF (871 kB) Citations (4)
References:
Abstract: In October 2013, the eighth meeting of researchers in the field of databases was held. The first such meeting took place in February 1988, so that 25 years passed between them. After each meeting, a report was published containing an overview of the current state of the field and a research program for the nearest future, a kind of set of forecasts for the development of research activities. This paper looks at the most interesting forecasts from the reports of the research meetings, discusses how they proved to be valid, to what extent they were true or not. Among the various problems of database technology under consideration are the following: the role of specialized hardware in building effective DBMS; SQL and database applications; perspectives of object-relational extensions; distributed heterogeneous database systems; databases and Web; databases and data warehouses, OLAP and data mining; component organization of DBMS; query optimization criteria; self-tuning and self-management of DBMS; DBMS architecture and new hardware capabilities: SSD, non-volatile memory, massively multithreaded processors; specialized DBMS; data fusion and data spaces; the Big Data problem and the response to it in the database community; architectural shifts in computing.
Keywords: database research community reports, technology forecasts, data analysis, database machine, SQL, manifest of future database systems, scalability, heterogeneity, distribution, data warehouse, extendibility, query optimization, self-tuning, SSD, non-volatile memory, data space, Big Data.
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: S. D. Kuznetsov, “Data management: 25 years of forecasts”, Proceedings of ISP RAS, 29:2 (2017), 117–160
Citation in format AMSBIB
\Bibitem{Kuz17}
\by S.~D.~Kuznetsov
\paper Data management: 25 years of forecasts
\jour Proceedings of ISP RAS
\yr 2017
\vol 29
\issue 2
\pages 117--160
\mathnet{http://mi.mathnet.ru/tisp213}
\crossref{https://doi.org/10.15514/ISPRAS-2017-29(2)-5}
\elib{https://elibrary.ru/item.asp?id=29118080}
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  • https://www.mathnet.ru/eng/tisp213
  • https://www.mathnet.ru/eng/tisp/v29/i2/p117
  • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Proceedings of the Institute for System Programming of the RAS
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