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1

Knowledge discovery, transfer, and management in the information age. Hershey: Information Science Reference, 2014.

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2

Land registration and cadastral systems: Tools for land information and management. Harlow, Essex, England: Longman Scientific and Technical, 1991.

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3

Scriba, Albrecht, and Volker Herminghaus. Storage Management in Data Centers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-85023-6.

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4

Storage virtualization: Technologies for simplifying data storage and management. Upper Saddle River, NJ: Addison-Wesley, 2005.

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5

Grigor'ev, Anatoliy, Evgeniy Isaev, and Pavel Tarasov. Transfer, storage and processing of large volumes of scientific data. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1073525.

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The textbook examines large scientific projects and the amount of data generated by them, and provides an overview of scientific computer networks that allow high-speed transmission of large amounts of data for these projects. The article considers the computing systems offered by the leading manufacturers of computer equipment for processing large amounts of data and providing both the possibilities of storing large amounts of data, including distributed data, and the means of analytics and parallel data processing in real time. Special attention is paid to the security of the transmitted scientific information. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students of technical specialties of bachelor's degree, master's degree, specialty, studying in the areas of "Applied Mathematics and Computer Science", "Business Computer Science" and "Computer Science and Computer Engineering".
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6

New York (State). Governor's Task Force on Filing and Recording. Public records: Vision 2000 : a project of the Governor's Task Force to improve local government filing and recording practices in New York State: report of the Governor's Task Force on Filing and Recording : land information. [Albany, N.Y.?]: The Task Force, 1993.

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7

Brooks, Charlotte. Disaster recovery strategies with Tivoli Storage management. [San Jose, Calif.]: IBM Corp., 2002.

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8

Master data management. Boston: Elsevier/Morgan Kaufmann, 2008.

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9

O'Connor, John T. Analytical data-management systems. [Denver, CO]: U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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10

T, O'Connor John. Analytical data-management systems. [Denver, CO]: U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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11

T, O'Connor John. Analytical data-management systems. [Denver, CO]: U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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12

T, O'Connor John. Analytical data-management systems. [Denver, CO]: U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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13

McFadden, Fred R. Data base management. Menlo Park, Calif: Benjamin/Cummings Pub. Co., 1985.

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14

A, Hoffer Jeffrey, ed. Data base management. 2nd ed. Menlo Park, Calif: Benjamin/Cummings Pub. Co., 1988.

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15

Core Data: Data storage and management for iOS, OS X, and iCloud. 2nd ed. Dallas, Texas: The Pragmatic Bookshelf, 2013.

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16

Ferrigno, Carmelo F. A data-management system for detailed areal interpretive data. Denver, Colo: U.S. Dept. of the Interior, Geological Survey, 1986.

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17

Ferrigno, Carmelo F. A data-management system for detailed areal interpretive data. Denver, Colo: U.S. Dept. of the Interior, Geological Survey, 1986.

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18

Ferrigno, Carmelo F. A data-management system for detailed areal interpretive data. Denver, Colo: U.S. Dept. of the Interior, Geological Survey, 1986.

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19

Ferrigno, Carmelo F. A data-management system for detailed areal interpretive data. Denver, Colo: U.S. Dept. of the Interior, Geological Survey, 1986.

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20

Ferrigno, Carmelo F. A data-management system for detailed areal interpretive data. Denver, Colo: U.S. Dept. of the Interior, Geological Survey, 1986.

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21

Ferrigno, Carmelo F. A data-management system for detailed areal interpretive data. Denver, Colo: U.S. Dept. of the Interior, Geological Survey, 1986.

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22

Catthoor, Francky. Data Access and Storage Management for Embedded Programmable Processors. Boston, MA: Springer US, 2002.

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23

Data center storage: Cost-effective strategies, implementation, and management. Boca Raton, FL: Auerbach Publications, 2011.

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24

Catthoor, Francky, Koen Danckaert, Chidamber Kulkarni, Erik Brockmeyer, Per Gunnar Kjeldsberg, Tanja Van Achteren, and Thierry Omnes. Data Access and Storage Management for Embedded Programmable Processors. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-4903-8.

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25

Web data management. New York: Cambridge University Press, 2011.

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26

Automating FileMaker Pro: Scripting, calculations, and data transfer. San Diego: Morgan Kaufmann, 2000.

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27

Luisa, Sapino Maria, ed. Data management for multimedia retrieval. Cambridge: Cambridge University Press, 2010.

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28

Jayaswal, Kailash. Administering data centers: Servers, storage, and voice over IP. Indianapolis, IN: Wiley Pub., 2006.

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29

Effective document and data management: Unlocking corporate content. 3rd ed. Burlington, VT: Gower Pub., 2011.

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30

Błażewicz, Jacek. Handbook on Data Management in Information Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003.

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31

Computer Systems Laboratory (U.S.), ed. Data Encryption Standard (DES). Gaithersburg, MD: Computer Systems Laboratory, National Institute of Standards and Technology, 1994.

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32

Donahue, B. A. Managing underground storage tank data using dBase III Plus. Champaign, Ill: US Army Corps of Engineers, Construction Engineering Research Laboratory, 1987.

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33

Moran, Matthew E. Liquid Transfer Cryogenic Test Facility: Initial hydrogen and nitrogen no-vent fill data. [Washington, D.C.]: NASA, 1990.

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34

Australasian Marine and Coastal Data Management Conference (1st 1998 Hobart, Tas.). Marine and coastal data management: First Australasian Marine and Coastal Data Management Conference proceedings, November 1998. Edited by Tanner E. L, CSIRO (Australia) Marine Research, and Australian Geological Survey Organisation. Glebe, N.S.W: Earth Ocean & Space, 1999.

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35

Johnson, Milan E. Controls for wire transfer funds. Atlanta, Ga: LOMA, 1986.

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36

1946-, Cooper Richard, and Kennedy Jessie 1957-, eds. Data management: Data, data everywhere ; 24th British National Conference on Databases, BNCOD 24, Glasgow, UK, July 3-5, 2007 : proceedings. Berlin: Springer, 2007.

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37

Distributed storage networks: Architecture, protocols, and management. Chichester: Wiley, 2003.

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38

Kanter, Jerome. Computer essays for management. Englewood Cliffs, N.J: Prentice-Hall, 1987.

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39

Williams, M. Howard. [Key technologies for data management]: [proceedings]. [Berlin: [Springer], 2004.

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40

The Burrowswheeler Transform Data Compression Suffix Arrays And Pattern Matching. Springer, 2008.

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41

Pragmatic Enterprise Architecture: Strategies to Transform Information Systems in the Era of Big Data. Elsevier Science & Technology Books, 2014.

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42

Storage Management in Data Centers. Springer, 2009.

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43

Group, Open. Data Storage Management: A Systems Approach. Prentice Hall PTR, 1997.

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44

Charlotte, Brooks, ed. Tivoli storage management concepts. 3rd ed. San Jose, Calif: IBM Corporation, 2000.

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45

The use of information systems to transform utilities and regulatory commissions: The application of geographic information systems. Columbus, Ohio (1080 Carmack Rd., Columbus 43210-1002): National Regulatory Research Institute, Ohio State University, 1995.

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46

Ray, Sumantra (Shumone), Sue Fitzpatrick, Rajna Golubic, Susan Fisher, and Sarah Gibbings, eds. Archiving. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199608478.003.0023.

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This chapter discusses the importance of archiving the data. As well as regulatory advice the requirements of the most useful reference guide, ISO11799, is reviewed. Practical advice on issues such as location, storage, security, and environmental controls is given. The management of the archive from preparation to transfer of data is described. Methods of indexing and cataloguing together with tracking are detailed and systems for retrieval of data are explored. The role of the archivist in audits and inspections is discussed as the content of the TMF will be assessed during audit to ensure a clear audit trail is maintained. Retention times for essential documents are reviewed in the EU the regulation stipulates that data has to be kept for 25 years. As more and more information has to be archived the use of off-site or commercial archives is becoming more common and the additional requirements for a third party service provider are described. The introduction of eArchiving and the associated problems with long term storage of electronic data are discussed along with the various methods that may be used. The FDA issued guidance for electronic data and compliance with this guidance, CFR21 part 11, is vital. CFR 21 part 11 is widely followed within Europe and the standard is frequently referred to by the regulatory inspectors.
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47

L, Podio Fernando, and National Institute of Standards and Technology (U.S.), eds. Emerging network storage management standards for intelligent data storage subsystems. Gaithersburg, MD: U.S. Department of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.

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48

L, Podio Fernando, and National Institute of Standards and Technology (U.S.), eds. Emerging network storage management standards for intelligent data storage subsystems. Gaithersburg, MD: U.S. Department of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.

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49

L, Podio Fernando, and National Institute of Standards and Technology (U.S.), eds. Emerging network storage management standards for intelligent data storage subsystems. Gaithersburg, MD: U.S. Department of Commerce, Technology Administration, National Institute of Standards and Technology, 1998.

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50

Toigo, Jon W., and Jon William Toigo. Holy Grail of Data Storage Management, The. Prentice Hall PTR, 1999.

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