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Data Warehouse: Corporate Knowledge Repository

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Filtering the Web to Feed Data Warehouses

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Abstract

Due to its destination and the sophisticated methods of data processing, the enterprise Data Warehouse (DW) is often claimed to be the corporate knowledge repository. However, is corporate knowledge derived only from structured information (data) stored within the organization, during its performance?

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References

  • Adelman S (1997a) Organizational and Cultural Issues. In: Bischoff J, Alexander T (eds) Data Warehouse: Practical Advice from the Experts. Prentice Hall, USA, pp 30–46

    Google Scholar 

  • Adelman S (1997b) Data Quality. In: Bischoff J, Alexander T (eds) Data Warehouse: Practical Advice from the Experts. Prentice Hall, USA, pp 122–134

    Google Scholar 

  • Allison B (1999) Continuous Warehouse Improvement. DMReview Magazine http://www.drnreview.com/master.cfm?NavID=55&EdID=1453

    Google Scholar 

  • Bischoff J, Yevich R (1996), The Superstore: Building More than a Data Warehouse. Database Programming and Design Online Magazine, September 1996, http://www.dbpd.com/vault/septoc.htm

  • Bischoff J (1997a) Introduction to Data Warehousing. In: Bischoff J, Alexander T (eds) Data Warehouse: Practical Advice from the Experts. Prentice Hall, USA, pp 4–15

    Google Scholar 

  • Bischoff J (1997b) Working Effectively with End Users. In: Bischoff J, Alexander T (eds) Data Warehouse: Practical Advice from the Experts. Prentice Hall, USA, pp 47–56

    Google Scholar 

  • Bischoff J (1997c) Physical Design. In: Bischoff J, Alexander T (eds) Data Warehouse: Practical Advice from the Experts. Prentice Hall, USA, pp 177–198

    Google Scholar 

  • Bischoff J (1997d) Design Reviews for the Data Warehouse. In: Bischoff J, Alexander T (eds) Data Warehouse: Practical Advice from the Experts. Prentice Hall, USA, pp 274–285

    Google Scholar 

  • Brooks P (1997) Selecting End User Tools. In: Bischoff J, Alexander T (eds) Data Warehouse: Practical Advice from the Experts. Prentice Hall, USA, pp 364–381

    Google Scholar 

  • Buretta M (1997) Data Replication in a Global Warehousing. In: Bischoff J, Alexander T (eds) Data Warehouse: Practical Advice from the Experts. Prentice Hall, USA, pp 206–225

    Google Scholar 

  • Castiel B (1997) Systems Administration. In: Bischoff J, Alexander T (eds) Data Warehouse: Practical Advice from the Experts. Prentice Hall, USA, pp 325–337

    Google Scholar 

  • Cavero J, Piattini M, Marcos E, Sanchez A (2001) A Methodology for Data Warehouse Design. In: Khosrowpour M (ed) Managing Information Technology in a Global Economy, Proc of the IRMA 2001 Conference, Idea Group Publishing, USA, ISBN 1–930708–1–930708, pp 1–930708

    Google Scholar 

  • Firestone JM (1999) Enterprise Information Portals and Enterprise Knowledge Portals. DKMS Briefs, http://www.dkms.com/EKPandEIP.html

  • Flangan T, Safdie E (1998a) Java Gives Data Marts a Whole New Look. Technology Guide by The Applied Technology Group, http://www.techguide.com/dw/sec_html/javmart.shtml

  • Flangan T, Safdie E (1998b) Mining for a Competitive Advantage in Your Data Warehouse. Technology Guide by The Applied Technology Group, http://www.techguide.com/dw/sec_html/datmine.shtml

  • Forsman S (1997) OLAP Council White Paper. OLAP Council, http://www.olapcouncil.org/research/resrchly.htm

  • Fosdick H (1997) Real-World Data Warehousing: The Management Challenge. In: Bischoff J, Alexander T (eds) Data Warehouse: Practical Advice from the Experts. Prentice Hall, USA, pp 71–81

    Google Scholar 

  • Gausden S, Mason T (1997) Middleware: Gluing the Warehouse Together. In: Bischoff J, Alexander T (eds) Data Warehouse: Practical Advice from the Experts. Prentice Hall, USA, pp 252–273

    Google Scholar 

  • Gill HS, Rao PC (1996) The Official Guide to Data Warehousing. Que, USA, 1996

    Google Scholar 

  • Gleason D (1997a) Metadata. In: Bischoff J, Alexander T (eds) Data Warehouse: Practical Advice from the Experts. Prentice Hall, USA, pp 135–150

    Google Scholar 

  • Gleason D (1997b) Data Transformation. In: Bischoff J, Alexander T (eds) Data Warehouse: Practical Advice from the Experts. Prentice Hall, USA, pp 160–173

    Google Scholar 

  • Hackathorn R (1999) Web Farming for the Data Warehouse. Morgan Kaufman Publishers, San Francisco, USA

    Google Scholar 

  • Hessinger P (1997) A Renaissance for Information Technology. In: Bischoff J, Alexander T (eds) Data Warehouse: Practical Advice from the Experts. Prentice Hall, USA, pp 16–29

    Google Scholar 

  • Hippe ZS (1999) Data Mining and Knowledge Discovery in Business: Past, Present, and Future. In: Abramowicz W, Orlowska M (eds) Proc of the 3rd International Conference on Business Information Systems BIS’99. Springer-Verlag London, pp 158–169

    Google Scholar 

  • Hubel M (1997a) Database Administration Issues in a Heterogeneous Environment. In: Bischoff J, Alexander T (eds) Data Warehouse: Practical Advice from the Experts. Prentice Hall, USA, pp 338–349

    Google Scholar 

  • Hubel M (1997b) Security in the Data Warehouse. In: Bischoff J, Alexander T (eds) Data Warehouse: Practical Advice from the Experts. Prentice Hall, USA, pp 350–363

    Google Scholar 

  • Huffort D (1996) Data Warehouse Quality: DM Review Magazine Special Feature from January 1996, http://www.dmreview.com/master.cfm?NavID=55&EdID=1311

    Google Scholar 

  • Imhoff C (2000a) The Corporate Information Factory. DMReview.com, 2000, http://www.datawarehouse.com/iknowledge/articles/article.cfm?ContentID=145

    Google Scholar 

  • Imhoff C (2000b) Intelligent Solutions: Exploration Warehouse, the Final Frontier, DMReview.com, 2000, http://www.dmreview.com/master.cfm?NavID=55&EdID=1857

    Google Scholar 

  • Inmon WH (1992) Building a Data Warehouse. QED Technical Publishing Group, USA

    Google Scholar 

  • Inmon WH (1999a) The Data Warehouse Evolution, Into the New Millenium. Bill Inmon’s Library, http://www.bil1inmon.com/library/articles/artdwev.asp

  • Inmon WH (1999b) Metadata in the Data Warehouse Environment. Bill Inmon’s Library, http://www.billinmon.com/library/library_frame.html

  • Jordan S, Smith K (1997) The Virtual Data Warehouse. Corporate Information Management Strategies and Architectures, Locheed Martin, http://www.ornl.gov/cim/vdwtxt.htm

  • Kimball R (1996) The Data Warehouse Toolkit. John Willey & Sons, New York, USA, ISBN 0–471–0–471

    Google Scholar 

  • Kimball R, Merz R (2000) The Data Webhouse Toolkit. John Willey & Sons, New York, USA, ISBN 0–471–0–471

    Google Scholar 

  • Kosar D (1997) The Seven Deadly Sins. In: Bischoff J, Alexander T (eds) Data Warehouse: Practical Advice from the Experts. Prentice Hall, USA, pp 57–70

    Google Scholar 

  • Ladley J (1997) A Flexible Approach to Developing a Data Warehouse. In: Bischoff J, Alexander T (eds) Data Warehouse: Practical Advice from the Experts. Prentice Hall, USA, pp 100–119

    Google Scholar 

  • Marco D (1998) Data Mart Migration, DMReview Magazine, 1998, http://www.dmreview.com/master.cfm?NavID=55&EdID=256

    Google Scholar 

  • Mattison R (1999) Web Warehousing and Knowledge Management. McGraw-Hill, USA, ISBN 0–07–0–07

    Google Scholar 

  • Orr K (2000) Data Warehouse Technology. The Ken On Institute, 2000, http://www.kenorrinst.cotn/dwpaper.html

  • Pendse N (2000) The OLAP Report: What is OLAP?. Business Intelligence, http://www.olapreport.com/fasmi.htm

  • Peters EM (1997) The Virtual Data Warehouse. In: Bischoff J, Alexander T (eds) Data Warehouse: Practical Advice from the Experts. Prentice Hall, USA, pp 286–295

    Google Scholar 

  • Pokorny J (1999) To the Stars through Dimensions and Facts. In: Abramowicz W, Orlowska M (eds) Proc of the 3rd International Conference on Business Information Systems BIS’99. Springer-Verlag London, pp 135–147

    Google Scholar 

  • Ryan J (1999) Building and Deploying an Enterprise Data Warehouse. The Applied Technologies Group, http://www.techguide.com/de/sec_html

  • SAS/Warehouse Administrator (1997) User’s guide, Relase 1.1 First Edition SAS Institute Inc., USA, 1997

    Google Scholar 

  • Schilakes CC, Tylman J (1998) Enterprise Information Portals. Merrill Lynch Enterprise Software Team

    Google Scholar 

  • Singh H (1999) Interactive Data Warehousing. Prentice Hall, USA

    Google Scholar 

  • Sweeney J (1997) The Role of a Directory/Catalog. In: Bischoff J, Alexander T (eds) Data Warehouse: Practical Advice from the Experts. Prentice Hall, USA, pp 151–159

    Google Scholar 

  • Tanler R (1997) Putting the Data Warehouse on the Intranet. itmWEB media Corporation, http://www.itmweb.com/essay523.htm

  • Uhrowczik P (1997) Trends in Data Warehousing. In: Bischoff J, Alexander T (eds) Data Warehouse: Practical Advice from the Experts. Prentice Hall, USA, pp 384–401

    Google Scholar 

  • White C (1997a) A Technical Architecture for Data Warehousing. In: Bischoff J, Alexander T (eds) Data Warehouse: Practical Advice from the Experts. Prentice Hall, USA, pp 84–90

    Google Scholar 

  • White C (1997b) Multidimensional OLAP versus Relational OLAP. In: Bischoff J, Alexander T (eds) Data Warehouse: Practical Advice from the Experts. Prentice Hall, USA, pp 199205

    Google Scholar 

  • Winter R, Jung R (2001) Justification of Data Warehouse Projects. In: Khosrowpour M (ed) Managing Information Technology in a Global Economy, Proc of the IRMA 2001 Conference, Idea Group Publishing, USA, ISBN 1–930708–1–930708, pp 1–930708

    Google Scholar 

  • Yevisch R (1997) Data Mining. In: Bischoff J, Alexander T (eds) Data Warehouse: Practical Advice from the Experts. Prentice Hall, USA, pp 309–321

    Google Scholar 

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Authors and Affiliations

  1. Department of Computer Science, The Poznań University of Economics, al. Niepodleglosci 10, 60-967, Poznań, Poland

    Witold Abramowicz MSc, PhD, Paweł Kalczyński MSc & Krzysztof Węcel MSc

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  1. Witold Abramowicz MSc, PhD
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  2. Paweł Kalczyński MSc
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  3. Krzysztof Węcel MSc
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© 2002 Springer-Verlag London

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Abramowicz, W., Kalczyński, P., Węcel, K. (2002). Data Warehouse: Corporate Knowledge Repository. In: Filtering the Web to Feed Data Warehouses. Springer, London. https://doi.org/10.1007/978-1-4471-0137-6_2

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  • DOI: https://doi.org/10.1007/978-1-4471-0137-6_2

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1107-8

  • Online ISBN: 978-1-4471-0137-6

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