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Books on the topic 'Desktop Applications - Databases'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

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1

1943-, Slooten Kees van, ed. Optimal information modeling techniques. IRM Press, 2002.

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2

Derek, Strauss, and Neushloss Genia, eds. DW 2.0: The architecture for the next generation of data warehousing. Morgan Kaufmann, 2008.

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3

Piattini, Mario, and Oscar Di az. Advanced database technology and design. Artech House, 2000.

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4

Center for Intelligent Information Retrieval, ed. Advances in information retrieval: Recent research from the Center for Intelligent Information Retrieval. Kluwer Academic, 2002.

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5

Wang, John. Encyclopedia of data warehousing and mining. Idea group Reference, 2006.

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6

Inmon, William H. Business metadata: Capturing enterprise knowledge. Elsevier/Morgan Kaufmann, 2008.

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7

Inmon, William H. Business metadata: The quest for business clarity. Elsevier/Morgan Kaufmann, 2007.

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8

Roberto, Baldoni, and NetLibrary Inc, eds. Global data management. IOS Press, 2006.

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9

International Baltic Conference on Databases and Information Systems (9th 2010 Ri ga, Latvia). Databases and information systems VI: Selected papers from the Ninth International Baltic Conference, DB & IS 2010. IOS Press, 2011.

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10

Lehnardt, Jan. CouchDB: The Difinitive Guide. O'Reilly, 2010.

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11

SAS Institute. SAS 9.1 output delivery system: User's guide. SAS Institute, 2004.

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12

Michael, Amundsen, ed. Sams teach yourself database programming with Visual InterDev 6 in 21 days. Sams, 2000.

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13

Feldman, Ronen. The text mining handbook: Advanced approaches in analyzing unstructured data. Cambridge University Press, 2007.

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14

Inc, ebrary, ed. Oracle Application express 4.0 with Ext JS: Deliver rich, desktop-styled Oracle APEX applications using the powerful Ext JS JavaScript library. Packt Enterprise, 2011.

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15

Halpin, T. A. Database Modeling with Microsoft Visio for Enterprise Architects. Elsevier, 2003.

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16

Hacid, Mohand-Saïd. Video data. Kogan Page Science, 2003.

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17

Y, Kambayashi, and Jōhō Shori Gakkai (Japan), eds. Nontraditional database systems. Taylor & Francis, 2002.

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18

1968-, Gupta Ashish, and Mumick Inderpal Singh, eds. Materialized views: Techniques, implementations, and applications. MIT Press, 1998.

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19

D, Lawrence Kenneth, Kudyba Stephan 1963-, and Klimberg Ronald K, eds. Data mining methods and applications. Auerbach Publications, 2008.

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20

DeAngelis, M. Carla. Data modeling with ERwin. Macmillan USA, 2000.

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21

1967-, Kargupta Hillol, ed. Next generation of data mining. Chapman & Hall/CRC, 2008.

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22

Owen, Charles B. Computed synchronization for multimedia applications. Kluwer Academic Publishers, 1999.

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23

Turley, Paul. Beginning Transact-SQL with SQL Server 2000 and 2005. John Wiley & Sons, Ltd., 2007.

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24

IDEAL, 2004 (2004 Exeter England). Intelligent data engineering and automated learning: 5th international conference, Exeter, UK, August 25-27, 2004 : proceedings. Springer, 2004.

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25

Rohilla, Sanjeev. Ado.net professional projects. Premier Press, 2002.

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26

E, Burkey Roxanne, and Breakfield Charles V, eds. Designing a total data solution: Technology, implementation, and deployment. Auerbach, 2001.

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27

Xindong, Wu, and Kumar Vipin, eds. The top ten algorithms in data mining. Chapman & Hall/CRC, 2009.

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28

Delaney, Kalen. Inside Microsoft® SQL Server™ 2005. Microsoft Press, 2007.

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29

Bradley, Jones, and NetLibrary Inc, eds. Writing stored procedures with Microsoft SQL server. Macmillan USA, 2000.

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30

Silvers, Fon. Building and Maintaining a Data Warehouse. Taylor and Francis, 2008.

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31

Manolopoulos, Yannis. Spatial Databases: Technologies, Techniques and Trends. IGI Global, 2005.

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32

数据密集型应用系统设计. 中国电力出版社, 2018.

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33

Access 97 instruction manual: Level 1 : rev. 1.1. Diskover Office Software Ltd., 1998.

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34

Access 2000: Level 1. Diskover Office Software, 2000.

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35

Kleppmann, Martin. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. O'Reilly Media, Incorporated, 2017.

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36

Kleppmann, Martin. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. O'Reilly Media, Incorporated, 2017.

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37

Kleppmann, Martin. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. O'Reilly Media, 2017.

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38

(Editor), Olegas Vasilecas, Johann Eder (Editor), and Albertas Caplinskas (Editor), eds. Databases and Information Systems IV: Selected Papers from the Seventh International Conference DB&IS'2006 - Volume 155 Frontiers in Artificial Intelligence and Applications. IOS Press, 2007.

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39

Wijnhoven, Fons. Information Management: An Informing Approach. Taylor & Francis Group, 2009.

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40

Wijnhoven, Fons. Information Management: An Informing Approach. Taylor & Francis Group, 2009.

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41

Wijnhoven, Fons. Information Management: An Informing Approach. Taylor & Francis Group, 2009.

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42

Information management: An informing approach. Routledge, 2009.

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43

Absolute Beginner's Guide to Databases. Que, 2002.

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44

Westerman, Paul. Data Warehousing: Using the Wal-Mart Model. Elsevier Science & Technology Books, 2000.

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45

Candan, K. Selcuk, and Maria Luisa Sapino. Data Management for Multimedia Retrieval. Cambridge University Press, 2010.

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46

Candan, K. Selçuk, and Maria Luisa Sapino. Data Management for Multimedia Retrieval. Cambridge University Press, 2010.

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47

Candan, K. Selçuk, and Maria Luisa Sapino. Data Management for Multimedia Retrieval. Cambridge University Press, 2010.

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48

Candan, K. Selçuk, and Maria Luisa Sapino. Data Management for Multimedia Retrieval. Cambridge University Press, 2014.

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49

O'Neil, Bonnie, Lowell Fryman, and William H. Inmon. Business Metadata: Capturing Enterprise Knowledge. Morgan Kaufmann, 2007.

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50

Designing Data Intensive Application. O'Reilly publications, 2017.

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