PRESENTACION

AppendixUK Public Record Office Approved Electronic Records Management Solution.Victorian Electronic Records Strategy (VERS) Australia.© 2009 DAMA International 377



BibliographyThe selected reading from each chapter has been combined into a single bibliographyand sorted in alphabetical order by author to provide a ready reference.Adamson, Christopher and Michael Venerable. Data Warehouse Design Solutions. JohnWiley & Sons, 1998. ISBN 0-471-25195-X. 544 pages.Adamson, Christopher. Mastering Data Warehouse Aggregates: Solutions for StarSchema Performance. John Wiley & Sons, 2006. ISBN 0-471-77709-9. 345 pages.Adelman, Sid and Larissa T. Moss. Data Warehouse Project Management. Addison-Wesley Professional, 2000. ISBN 0-201-61635-1. 448 pages.Adelman, Sid and others. Impossible Data Warehouse Situations: Solutions from theExperts. Addison-Wesley, 2002. ISBN 0-201-76033-9. 432 pages.Adelman, Sid, Larissa Moss, and Majid Abai. Data Strategy. Addison-Wesley, 2005.ISBN 0-321-24099-5. 384 pages.Afyouni, Hassan A. Database Security and Auditing: Protecting Data Integrity andAccessibility. Course Technology, 2005. ISBN 0-619-21559-3.Aiken, Peter and M. David Allen. XML in Data Management: Understanding andApplying Them Together. Morgan Kaufmann, 2004. ISBN 0-12-45599-4.Alderman, Ellen and Caroline Kennedy . The Right to Privacy. 1997. Vintage, ISBN-10:0679744347, ISBN-13: 978-0679744344.Ambler, Scott W. and Pramodkumar J. Sadalage. Refactoring Databases: EvolutionaryDatabase Design. Addison-Wesley, 2006. ISBN 0-321-29353-3.Ambler, Scott. Agile Database Techniques: Effective Strategies for the Agile SoftwareDeveloper. Wiley & Sons, 2003. ISBN 0-471-20283-5.Anderson, Ross J. Security Engineering: A Guide to Building Dependable DistributedSystems. Wiley, 2008. ISBN 0-470-06852-6.Aspey, Len and Michael Middleton. Integrative Document & Content Management:Strategies for Exploiting Enterprise Knowledge. 2003. IGI Global, ISBN-10:1591400554, ISBN-13: 978-1591400554.Avison, David and Christine Cuthbertson. A Management Approach to DatabaseApplications. McGraw Hill, 2002. ISBN 0-077-09782-3.Axelrod, C. Warren. Outsourcing Information Security. Artech House, 2004. ISBN 0-58053-531-3.Baca, Murtha, editor. Introduction to Metadata: Pathways to Digital Information. GettyInformation Institute, 2000. ISBN 0-892-36533-1. 48 pages.© DAMA International 2009 379

DAMA-DMBOK GuideBarry, Douglas K. Web Services and Service-Oriented Architectures: The SavvyManager‘s Guide. Morgan Kaufmann, 2003. ISBN 1-55860-906-7.Batini, Carlo, and Monica Scannapieco. Data Quality: Concepts, Methodologies andTechniques. Springer, 2006. ISBN 3-540-33172-7. 262 pages.Bean, James. XML for Data Architects: Designing for Reuse and Integration. MorganKaufmann, 2003. ISBN 1-558-60907-5. 250 pages.Bearman, David. Electronic Evidence: Strategies for Managing Records inContemporary Organizations. 1994. Archives and Museum Informatics. ISBN-10:1885626088, ISBN-13: 978-1885626080.Benson, Robert J., Tom Bugnitz, and Bill Walton. From Business Strategy to IT Action:Right Decisions for a Better Bottom Line. John Wiley & Sons, 2004. ISBN 0-471-49191-8. 309 pages.Bernard, Scott A. An Introduction to Enterprise Architecture, 2nd Edition. Authorhouse,2005. ISBN 1-420-88050-0. 351 pages.Berson, Alex and Larry Dubov. Master Data Management and Customer DataIntegration for a Global Enterprise. McGraw-Hill, 2007. ISBN 0-072-26349-0. 400pages.Biere, Mike. Business Intelligence for the Enterprise. IBM Press, 2003. ISBN 0-131-41303-1. 240 pages.Bischoff, Joyce and Ted Alexander. Data Warehouse: Practical Advice from the Experts.Prentice-Hall, 1997. ISBN 0-135-77370-9. 428 pages.Bloem, Jaap, Menno van Doorn, and Piyush Mittal. Making IT Governance Work in aSarbanes-Oxley World. John Wiley & Sons, 2005. ISBN 0-471-74359-3. 304 pages.Boddie, John. The Information Asset: Rational DP Funding and Other Radical Notions.Prentice-Hall (Yourdon Press Computing Series), 1993. ISBN 0-134-57326-9. 174 pages.Boiko, Bob. Content Management Bible. Wiley, 2004. ISBN-10: 0764573713, ISBN-13:978-07645737.Brackett, Michael H. Data Resource Quality: Turning Bad Habits into Good Practices.Addison-Wesley, 2000. ISBN 0-201-71306-3. 384 pages.Brackett, Michael H. Practical Data Design. Prentice Hall, 1990. ISBN 0-136-90827-6.Brackett, Michael. Data Sharing Using A Common Data Architecture. New York: JohnWiley & Sons, 1994. ISBN 0-471-30993-1. 478 pages.Brackett, Michael. The Data Warehouse Challenge: Taming Data Chaos. New York:John Wiley & Sons, 1996. ISBN 0-471-12744-2. 579 pages.Brathwaite, Ken S. Analysis, Design, and Implementation of Data Dictionaries.McGraw-Hill Inc., 1988. ISBN 0-07-007248-5. 214 pages.380 © 2009 DAMA International

BibliographyBruce, Thomas A. Designing Quality Databases with IDEF1X Information Models.Dorset House, 1991. ISBN 10:0932633188. 584 pages.Bryce, Milt and Tim Bryce. The IRM Revolution: Blueprint for the 21st Century. M.Bryce Associates Inc., 1988. ISBN 0-962-11890-7. 255 pages.Cabena, Peter, Hadjnian, Stadler, Verhees and Zanasi. Discovering Data Mining: FromConcept to Implementation. Prentice Hall, 1997. ISBN-10: 0137439806Calder, Alan and Steve Watkins. IT Governance: A Manager‘s Guide to Data Securityand BS 7799/ISO 17799, 3rd Edition. Kogan Page, 2005. ISBN 0-749-44414-2.Carbone, Jane. IT Architecture Toolkit. Prentice Hall, 2004. ISBN 0-131-47379-4. 256pages.Carlis, John and Joseph Maguire. Mastering Data Modeling - A User-Driven Approach.Addison Wesley, 2000. ISBN 0-201-70045-X.Caserta, Joe and Ralph Kimball. The Data Warehouse ETL Toolkit: PracticalTechniques for Extracting, Cleaning, Conforming and Delivering Data. John Wiley &Sons, 2004. ISBN 0-764-56757-8. 525 pages.Castano, Silvana, Maria Grazia Fugini, Giancarlo Martella, and Pierangela Samarati.Database Security. Addison-Wesley, 1995. ISBN 0-201-59375-0.Celko, Joe. Joe Celko‘s SQL for Smarties: Advanced SQL Programming, 3rd Edition.ISBN 10: 0123693799. 840 pages.Celko, Joe. Joe Celko‘s Trees and Hierarchies in SQL for Smarties. Morgan Kaufmann,2004. ISBN 1-558-60920-2.Chisholm, Malcolm. How to Build a Business Rules Engine: Extending ApplicationFunctionality Through Metadata Engineering. Morgan Kaufmann, 2003. ISBN 1-558-60918-0.Chisholm, Malcolm. Managing Reference Data in Enterprise Databases: BindingCorporate Data to the Wider World. Morgan Kaufmann, 2000. ISBN 1-558-60697-1. 389pages.Coad, Peter. Object Models: Strategies, Patterns And Applications, 2nd Edition.Prentice Hall PTR, 1996. ISBN 0-13-840117-9.Collier, Ken. Executive Report, Business Intelligence Advisory Service, Finding theValue in Metadata Management (Vol. 4, No. 1), 2004. Available only to CutterConsortium Clients, http://www.cutter.com/bia/fulltext/reports/2004/01/index.html.Cook, Melissa. Building Enterprise Information Architectures: Re-EngineeringInformation Systems. Prentice Hall, 1996. ISBN 0-134-40256-1. 224 pages.Correy, Michael J. and Michael Abby. Oracle Data Warehousing: A Practical Guide toSuccessful Data Warehouse Analysis, Build and Roll-Out. TATA McGraw-Hill, 1997.ISBN 0-074-63069-5.© 2009 DAMA International 381

DAMA-DMBOK GuideCovey, Stephen R. The 7 Habits of Highly Effective People. Free Press, 2004. ISBN0743269519. 384 Pages.Cox, Richard J. and David Wallace. Archives and the Public Good: Accountability andRecords in Modern Society. 2002. Quorum Books, ISBN-10: 1567204694, ISBN-13: 978-1567204698.Cox, Richard J. Managing Records as Evidence and Information. Quorum Books, 2000.ISBN 1-567-20241-4. 264 pages.DAMA Chicago Chapter Standards Committee, editors. Guidelines to ImplementingData Resource Management, 4th Edition. Bellevue, WA: The Data ManagementAssociation (DAMA International), 2002. ISBN 0-9676674-1-0. 359 pages.Date, C. J. An Introduction to Database Systems, 8th Edition. Addison-Wesley, 2003.ISBN 0-321-19784-4.Date, C. J. and Hugh Darwen. Databases, Types and the Relational Model: The ThirdManifesto, 3rd Edition. Addison Wesley, 2006. ISBN 0-321-39942-0.Date, C. J., What Not How: The Business Rules Approach To Application Development.Addison-Wesley, 2000. ISBN 0-201-70850-7.Date, C. J., with Hugh Darwen. A Guide to the SQL Standard, 4th Edition. Addison-Wesley, 1997. ISBN 0-201-96426-0.DeAngelis, Carla. Data Modeling with Erwin. Indiana: Sams Publishing, 2000. ISBN 0-672-31868-7.Dearstyne, Bruce. Effective Approaches for Managing Electronic Records and Archives.2006. The Scarecrow Press, Inc. ISBN-10: 0810857421, ISBN-13: 978-0810857421.Delmater, Rhonda and Monte Hancock Jr. Data Mining Explained, A Manager's Guideto Customer-Centric Business Intelligence. Digital Press, Woburn, MA, 2001. ISBN 1-5555-8231-1.Deming, W. Edwards. Out of the Crisis. The MIT Press, 2000. ISBN 0262541157. 507pages.Dennis, Jill Callahan. Privacy and Confidentiality of Health Information. Jossey-Bass,2000. ISBN 0-787-95278-8.DM Review Magazine–www.dmreview.com. Note: www.dmreview.com is nowwww.information-management.com.Dorsey, Paul. Enterprise Data Modeling Using UML. McGraw-Hill Osborne Media,2007. ISBN 0-072-26374-1.Dreibelbis, Allen, Eberhard Hechler, Ivan Milman, Martin Oberhofer, Paul van Run,and Dan Wolfson. Enterprise Master Data Management: An SOA Approach toManaging Core Information. IBM Press, 2008. ISBN 978-0-13-236625-0. 617 pages.382 © 2009 DAMA International

BibliographyDunham, Jeff. Database Performance Tuning Handbook. McGraw-Hill, 1998. ISBN 0-07-018244-2.Durell, William R. Data Administration: A Practical Guide to Successful DataManagement. New York: McGraw-Hill, 1985. ISBN 0-070-18391-0. 202 pages.Dyche, Jill and Evan Levy. Customer Data Integration: Reaching a Single Version ofthe Truth. John Wiley & Sons, 2006. ISBN 0-471-91697-8. 320 pages.Dyche, Jill. E-Data: Turning Data Into Information With Data Warehousing. Addison-Wesley, 2000. ISBN 0-201-65780-5. 384 pages.Eckerson, Wayne W. Performance Dashboards: MEassuring, Monitoring, and ManagingYour Business. Wiley, 2005. ISBN-10: 0471724173. 320 pages.EIM Insight, published by The Enterprise Information Management Institute–http://eiminstitute.orgEllis, Judith, editor. Keeping Archives. Thorpe Bowker; 2 Sub edition. 2004. ISBN-10:1875589155, ISBN-13: 978-1875589159.English, Larry. Improving Data Warehouse And Business Information Quality: MethodsFor Reducing Costs And Increasing Profits. John Wiley & Sons, 1999. ISBN 0-471-25383-9. 518 pages.Entsminger, Gary. The Tao Of Objects. M & T Books, 1990. ISBN 1-55851-155-5.Erl, Thomas. Service-Oriented Architecture: A Field Guide to Integrating XML and WebServices. Prentice Hall, 2004. ISBN 0-131-42898-5.Erl, Thomas. Service-Oriented Architecture: Concepts, Technology and Design. PrenticeHall, 2004. ISBN 0-131-85858-0.Finkelstein, Clive and Peter Aiken. Building Corporate Portals with XML. McGraw-Hill, 1999. ISBN 10: 0079137059. 512 pages.Finkelstein, Clive. An Introduction to Information Engineering: From StrategicPlanning to Information Systems. Addison-Wesley, 1990. ISBN 0-201-41654-9.Finkelstein, Clive. Enterprise Architecture for Integration: Rapid Delivery Methods andTechniques. Artech House Mobile Communications Library, 2006. ISBN 1-580-53713-8.546 pages.Finkelstein, Clive. Information Engineering: Strategic Systems Development. Addison-Wesley, 1993. ASIN B000XUA41C.Firestone, Joseph M. Enterprise Information Portals and Knowledge Management.Butterworth-Heineman, 2002. ISBN 0-750-67474-1. 456 pages.Fleming, Candace C. and Barbara Von Halle. The Handbook of Relational DatabaseDesign. Addison Wesley, 1989. ISBN 0-201-11434-8.© 2009 DAMA International 383

DAMA-DMBOK GuideGertz, Michael and Sushil Jajodia. Handbook of Database Security: Applications andTrends. Springer, 2007. ISBN 0-387-48532-5.Gill, Harjinder S. and Prekash C. Rao. The Official Guide To Data Warehousing. Que,1996. ISBN 0-789-70714-4. 382 pages.Goldberg, Adele and Kenneth S, Rubin. Succeeding With Objects. Addison-Wesley,1995. ISBN 0-201-62878-3.Graham, Ian, Migrating To Object Technology. Addison-Wesley, 1995. ISBN 0-201-59389-0.Hackathorn, Richard D. Enterprise Database Connectivity. Wiley ProfessionalComputing, 1993. ISBN 0-4761-57802-9. 352 pages.Hackney, Douglas. Understanding and Implementing Successful Data Marts. AddisonWesley, 1997. ISBN 0-201-18380-3. 464 pages.Hagan, Paula J., ed. EABOK: Guide to the (Evolving) Enterprise Architecture Body ofKnowledge. MITRE Corporation, 2004. 141 pages. A U.S. federally-funded guide toenterprise architecture in the context of legislative and strategic requirements.Available for free download athttp://www.mitre.org/work/tech_papers/tech_papers_04/04_0104/04_0104.pdfHalpin, Terry, Ken Evans, Pat Hallock, and Bill McLean. Database Modeling withMicrosoft Visio for Enterprise Architects. Morgan Kaufmann, 2003. ISBN 1-558-60919-9.Halpin, Terry. Information Modeling and Relational Databases: From ConceptualAnalysis to Logical Design. Morgan Kaufmann, 2001. ISBN 1-558-60672-6.Harrington, Jan L. Relational Database Design Clearly Explained, 2nd Edition. MorganKaufmann, 2002. ISBN 1-558-60820-6.Hay, David C. Data Model Patterns: A Metadata Map. Morgan Kaufmann, 2006. ISBN0-120-88798-3. 432 pages.Hay, David C. Data Model Patterns: Conventions of Thought. Dorset House Publishing,1996. ISBN 0-932633-29-3.Hay, David C. Requirements Analysis From Business Views to Architecture. PrenticeHall, 2003. ISBN 0-120-28228-6.Henderson, Deborah, Tandum Lett, Anne Marie Smity, and Cora Zeeman. Fit For Useto a Fault. The MIT 2008 Information Quality Industry Symposium (MIT 2008), Boston,Mass. July 2008.Hernandez, Michael J. Database Design for Mere Mortals: A Hands-On Guide toRelational Database Design, 2nd Edition. Addison-Wesley, 2003. ISBN 0-201-75284-0.Higgs, Edward. History and Electronic Artifacts. Oxford University Press, USA. 1998.ISBN-10: 0198236344, ISBN-13: 978-0198236344.384 © 2009 DAMA International

BibliographyHillmann, Diane I. and Elaine L. Westbrooks, editors. Metadata in Practice. AmericanLibrary Association, 2004. ISBN 0-838-90882-9. 285 pages.Hoberman, Steve. Data Modeling Made Simple: A Practical Guide for Business &Information Technology Professionals. Technics Publications, LLC, 2005. ISBN 0-977-14000-8.Hoberman, Steve. The Data Modeler's Workbench. Tools and Techniques for Analysisand Design. John Wiley & Sons, 2001. ISBN 0-471-11175-9.Hoffer, Jeffrey A., Joey F.. George, and Joseph S. Valacich. Modern Systems Analysisand Design, 4th Edition. Prentice Hall, 2004. ISBN 0-131-45461-7.Hoffer, Jeffrey, Mary Prescott, and Fred McFadden. Modern Database Management, 7thEdition. Prentice Hall, 2004. ISBN 0-131-45320-3. 736 pages.Horrocks, Brian and Judy Moss. Practical Data Administration. Prentice-HallInternational, 1993. ISBN 0-13-689696-0.Howson, Cindi. ―The Business Intelligence Market‖. http://www.biscorecard.com/.Requires annual subscription to this website.http//:www.fjc.gov/public/home.nsf/pages/196http//:www.uscourts.gov/ruless/Ediscovery_w_Notes.pdfhttp://www.fgdc.gov/metadata/geospatial-metadata-standards.http://www.olapcouncil.org/research/resrchly.htmHuang, Kuan-Tsae, Yang W. Lee and Richard Y. Wang. Quality Information andKnowledge. Prentice Hall, 1999. ISBN 0-130-10141-9. 250 pages.Humphrey, Watts S. Managing The Software Process. Addison Wesley, 1989. ISBN 0-201-18095-2.Imhoff, Claudia, Lisa Loftis and Jonathan G. Geiger. Building the Customer-CentricEnterprise: Data Warehousing Techniques for Supporting Customer RelationshipManagement. John Wiley & Sons, 2001. ISBN 0-471-31981-3. 512 pages.Imhoff, Claudia, Nicholas Galemmo and Jonathan G. Geiger. Mastering DataWarehouse Design: Relational and Dimensional Techniques. John Wiley & Sons, 2003.ISBN 0-471-32421-3. 456 pages.Inmon, W. H. Advanced Topics in Information Engineering. John Wiley & Sons - QED,1989. ISBN 0-894-35269-5.Inmon, W. H. and Richard D. Hackathorn. Using the Data Warehouse. Wiley-QED,1994. ISBN 0-471-05966-8. 305 pages.Inmon, W. H. Building the Data Warehouse, 4th Edition. John Wiley & Sons, 2005.ISBN 0-764-59944-5. 543 pages.© 2009 DAMA International 385

DAMA-DMBOK GuideInmon, W. H. Building the Operational Data Store, 2nd edition. John Wiley & Sons,1999. ISBN 0-471-32888-X. 336 pages.Inmon, W. H. Information Engineering For The Practitioner. Prentice-Hall (YourdonPress), 1988. ISBN 0-13-464579-0.Inmon, W. H., Claudia Imhoff and Ryan Sousa. The Corporate Information Factory, 2ndedition. John Wiley & Sons, 2000. ISBN 0-471-39961-2. 400 pages.Inmon, William H. and Anthony Nesavich,. Tapping into Unstructured Data:Integrating Unstructured Data and Textual Analytics into Business Intelligence.Prentice-Hall PTR, 2007. ISBN-10: 0132360292, ISBN-13: 978-0132360296.Inmon, William H., Bonnie O‘Neil and Lowell Fryman. Business Metadata: CapturingEnterprise Knowledge. 2008. Morgan Kaufmann ISBN 978-0-12-373726-7. 314 pages.Inmon, William H., John A. Zachman and Jonathan G. Geiger. Data Stores, DataWarehousing and the Zachman Framework. McGraw-Hill, 1997. ISBN 0-070-31429-2.358 pages.IT Governance Institute. Control Objectives for Information and related Technology(CobiT©). www.isaca.org/cobitJacobson, Ivar, Maria Ericsson, and Agneta Jacobson. The Object Advantage. Addison-Wesley, 1995. ISBN 0-201-42289-1.Jaquith, Andrew. Security Metrics: Replacing Fear, Uncertainty and Doubt. Addison-Wesley, 2007. ISBN 0-321-349998-9.Jenkins, Tom, David Glazer, and Hartmut Schaper.. Enterprise Content ManagementTechnology: What You Need to Know, 2004. Open Text Corporation, ISBN-10:0973066253, ISBN-13: 978-0973066258.Karpuk, Deborah. Metadata: From Resource Discovery to Knowledge Management.Libraries Unlimited, 2007. ISBN 1-591-58070-6. 275 pages.Kent, William. Data and Reality: Basic Assumptions in Data Processing Reconsidered.Authorhouse, 2000. ISBN 1-585-00970-9. 276 pages.Kepner, Charles H. and Benjamin B. Tregoe. The New Rational Manager. PrincetonResearch Press, 1981. 224 pages.Kerr, James M. The IRM Imperative. John Wiley & Sons, 1991. ISBN 0-471-52434-4.Kimball, Ralph and Margy Ross. The Data Warehouse Toolkit: The Complete Guide toDimensional Modeling, 2nd edition. New York: John Wiley & Sons, 2002. ISBN 0-471-20024-7. 464 pages.Kimball, Ralph and Richard Merz. The Data Webhouse Toolkit: Building the Web-Enabled Data Warehouse. John Wiley & Sons, 2000. ISBN 0-471-37680-9. 416 pages.386 © 2009 DAMA International

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DAMA-DMBOK GuideMartin, James. Information Engineering Book 1: Introduction. Prentice-Hall, 1989.ISBN 0-13-464462-X. Also see Book 2: Analysis and Design and Book 3: Design andConstruction.Martin, James. Information Engineering Book II: Planning and Analysis. Prentice-Hall,Inc., 1990. Englewoood Cliffs, New Jersey.Mattison, Rob, Web Warehousing & Knowledge Management. McGraw Hill, 1999. ISBN0-070-41103-4. 576 pages.Mattison, Rob. Understanding Database Management Systems, 2nd Edition. McGraw-Hill, 1998. ISBN 0-07-049999-3. 665 pages.Maydanchik, Arkady. Data Quality Assessment. Technics Publications, LLC, 2007ISBN 0977140024. 336 pages.McComb, Dave. Semantics in Business Systems: The Savvy Manager‘s Guide. TheDiscipline Underlying Web Services, Business Rules and the Semantic Web. SanFrancisco, CA: Morgan Kaufmann Publishers, 2004. ISBN: 1-55860-917-2.McGilvray, Danette. Executing Data Quality Projects: Ten Steps to Quality Data andTrusted Information. Morgan Kaufmann, 2008. ISBN 0123743699. 352 pages.Melton, Jim and Stephen Buxton. Querying XML: XQuery, XPath and SQL/XML inContext. Morgan Kaufmann, 2006. ISBN 1-558-60711-0.Mena, Jesus, Data Mining Your Website, Digital Press, Woburn, MA, 1999, ISBN 1-5555-8222- 2.Morgan, Tony. Business Rules and Information Systems: Aligning IT with BusinessGoals. Addison-Wesley, 2002. ISBN 0-201-74391-4.Morris, Henry. Analytic Applications and Business Performance Management. DMReview Magazine, March, 1999. www.dmreview.com. Note: www.dmreview.com is nowwww.information-management.com.Moss, Larissa T. and Shaku Atre. Business Intelligence Roadmap: The Complete ProjectLifecycle for Decision-Support Applications. Addison-Wesley, 2003. ISBN 0-201-78420-3.576 pages.Muller, Robert. J. Database Design for Smarties: Using UML for Data Modeling. SanFrancisco, CA, USA, Morgan Kaufmann, 1999. ISBN 1-558-60515-0.Mullins, Craig S. Database Administration: The Complete Guide to Practices andProcedures. Addison-Wesley, 2002. ISBN 0-201-74129-6. 736 pages.National Information Standards Association (NISO), ANSI/NISO Z39.19-2005:Guidelines for the Construction, Format, and Management of Monolingual ControlledVocabularies. 2005. 172 pages. www.niso.org388 © 2009 DAMA International

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Index Business data steward 5, 37, 40, 43, 119, 173, 176, 187, 190, 252Abstraction...........................................97Academic Achievement Award ..........333 Business dimensional lifecycle ..........206Access .................................................157 Tenets .............................................206Accuracy ............................................. 296Action rules ..........................................95 Business entity.........................64, 73, 94Active data warehousing ...................209 Conceptual ........................................94Administrative meta-data .................265Advanced visualization and discovery Business intelligence ........................ 197 Buy or build ....................................227 ........................................................229 Monitoring ......................................232AGATE .... See France DGA Architecture Operational.....................................209 Strategic..........................................208 Framework Tactical ...........................................208ANSI / IEEE 1471-2000.......................68 Tools................................................225ANSI / NISO Z39.19-2005 .................187 User groups ....................................225ANSI Standard 859 ...........................244ANZLIC... See Australian New Zealand Land Business intelligence architecture ......80 Business intelligence management 7, 20, Information CouncilApplication data layer .......................112 41Architectural framework ...............67, 82 Business intelligence value chain......315Architecture .........................................65 Business knowledge.............................74Attribute ..............................................98 Business meta-data ...........................262Auditing data security .......................159 Business relationship ..........................76Australian New Zealand Land Business rules .............. 95, 119, 300, 305 Business subject area ..........................74 Information Council .......................276 Business Systems Planning.....67, 79, 92 Business value chain ...........................77BABOK... See Business Analysis Body of Business vobaculary ............................92 Knowledge CAD / CAM......... See Computer AssistedBackup files........................................133 Design and ManufacturingBase II New Accord..............................50BI application architect .....................220 Canada Bill 198 .........................242, 328Body of Knowledge...........................8, 11 Canadian Information Processing BABOK .............................................11 Society...............................................11 CBK ..................................................11 Candidate key ......................................99 CITBOK ............................................11 Capital Planning and Investment PMBOK Guide..................................11 SWEBOK ..........................................11 Control ..............................................69Boyce / Codd normal form....................97 Card catalog .......................................259Brackett, Michael ..............................332 Cardinality rules..................................95Bridge table........................................215 CBIP ...... See Certified Business IntelligenceBSP....... See Business Systems PlanningBus .....................................................217 ProfessionalBusiness Analysis Body of Knowledge 11 CBK .... See Common Body of KnowledgeBusiness architecture ....................65, 66 CCA .....................See Clinger-Cohen ActBusiness continuity group .................133 CDI ................ See Customer data integrationBusiness Continuity Plan..................245 CDMP......... See Certified Data Management© DAMA International 2009 Professional CDMP certification 393

DAMA-DMBOK Guide Accepted vendor certifications ....... 323 Computer assisted design and Exam preparation .......................... 325 manufacturing ................................ 138 Examination................................... 325 Mastery .......................................... 322 Conceptual business entity .................94 Practitioner .................................... 322 Conceptual data model ............ 72, 76, 93 Process............................................ 321 Conceptual design review..................114 Qualifying examinations................ 323 Confidentiality classification.............159 Recertification ................................ 325 Configuration management...............117 Scores ............................................. 322 Conformed dimensions ......................216Certified Business Intelligence Conformed facts .................................217 Professional ........................................9 Content lifecycle ................................248Certified Data Management Content management ................ 239, 248 Professional ................................ 9, 321 Content management system.... 241, 248Certified Information Systems Security Content Standard for Digital Geospatial Professional ...................................... 11Change-capture mechanism.............. 230 Metadata ........................................276Chief data steward ........................ 43, 44 Context diagramChief information officer ............... 43, 46CIF ... See Corporate information factory Data architecture management .......64CIM ........... See Common Information Model Data development ............................87CIO................. See Chief information officer Data governance...............................37CIPS .............. See Canadian Information Data management............................18 Processing Society Data operations management........129CISSP...... See Certified Information Systems Data quality management .............291 Data security management............151 Security Professional Data warehousing and businessCITBOK ........ See Canadian Information intelligence management ...........198 Technology Body of Knowledge Defined .............................................27Citizen relationship management....... 52 Document and content managementClass words........................................ 113Classification Framework ................... 67 ..................................................... 240Clinger-Cohen Act ............................... 69 Meta-data management .................259CobiT..See Control objectives for information Reference and master data and related technology, See Control management ...............................171 Control activity ....................................24 objectives for information and related Control objectives for information and technology. related technology ............................38Code management system................. 185 Coordinating data steward..................40Code table .......................... 100, 174, 191 Corporate information factory..... 79, 201COE...... See Data management center of Purpose ........................................... 203 excellence Cost-benefit ratio ...............................315COI...See Data management community Covey, Steven.....................................223 CPIC............... See Capital Planning and of interestCo-location ......................................... 111 Investment ControlCommon Body of Knowledge ............... 11 CRM ... See Citizen relationship management,Common Information Model ............. 276Common Warehouse Meta-data........ 274 Customer relationship managementCommunity Award ............................ 333 CRUD matrix.......................................79Completeness..................................... 296 CSDGM ......See Content Standard for DigitalComposite key...................................... 99 Geospatial Metadata394 Cultural change leadership .................16 Currency ............................................296 Customer data integration ................178 © 2009 DAMA International

IndexCustomer relationship management..52, Value .................................................53 178 Data attribute ......................................64CWM .....See Common Warehouse Meta-data Definition ..........................................98 Essential ...........................................76DAMA.....................................................8 Instance ............................................98DAMA Dictionary of Data Management Logical model....................................98 Data cleansing ...........................231, 291 ..................................................11, 321 Data cleansing tools...................185, 188DAMA Foundation.................................8 Data consistency ................................155DAMA International......................8, 320 Data definition language ...................102DAMA International Academic Data delivery architecture.......64, 72, 82 Data deployment................................... 6 Achievement Award .......................333 Data designDAMA International Community Award Detailed ..........................................101 Data development ....................20, 40, 87 ........................................................333 Context diagram...............................87DAMA International Conference Europe Guiding principles ..........................120 Issues ..............................................123 ....................................................9, 320 Process summary............................121DAMA International Government Responsibilities.................................87 Data dictionary ....................................99 Achievement Award .......................333 Data enhancement.............................311DAMA International Lifetime Data entity ...........................................94 Data flow ..............................................79 Achievement Award .......................332 Data governance .. 6, 19, 37, 40, 252, 294DAMA International Professional Activities ...........................................45 Context diagram...............................37 Achievement Award .......................332 Frameworks......................................55DAMA International Symposium.8, 320, Government analogy ........................42 Guiding principles ............................56 321 Issue management ...........................50DAMA Mission.......................................8 Issues ................................................59DAMA-DMBOK Issues adjudicated ............................43 Procedures ........................................51 Functional Framework...............12, 14 Process summary..............................57 Recurring themes .............................16 Responsibility for..............................42 Structure ..........................................15 Rules defined by ...............................42DAMA-DMBOK Guide ....................9, 20 Scope .................................................41 Audience ...........................................10 Unique ..............................................60 Goals ...................................................9 Uniqueness .......................................38 Use ....................................................10 Data governance council ... 42, 43, 44, 46,Dashboard ..........................................227 48, 51, 53, 81, 132, 154Data....................................................2, 6 Data governance function ....................37 Structured format...............................3 Data governance office...................43, 44 Unstructured format ..........................3 Data governance strategy....................45Data access services...........................109 Data hub model..................................183Data administration ......................5, 129 Data implementation.........................116Data analyst............... 101, 108, 111, 120 Data integration...................................16Data architect .................. 43, 64, 71, 220Data architecture...........................63, 81 395Data architecture management6, 19, 40, 63, 64 Context diagram...............................64 Guiding principles ............................81 Process summary .............................82Data architecture steering committee.48Data asset ........................................6, 53© 2009 DAMA International

DAMA-DMBOK GuideData integration architecture ....... 79, 80 Data management implementationData integration procedure ............... 190 roadmap............................................47Data integration specialist ................ 111Data lifecycle ..................................... 3, 4 Data management intranet website ...55Data lineage................................. 79, 161 Data management procedures ............48Data management ......... 4, 7, 17, 37, 319 Components ...................................... 49 Activities........................................... 21 Data management profession................8 Activity groups ................................. 24 Data management professional 5, 37, 43, Consumers........................................ 28 Deliverables...................................... 28 44, 319 Elements........................................... 18 Continuing education.....................321 Function ..................................... 18, 19 Obligations .....................................319 Goals................................................. 18 Data management program charter ...47 Individual roles ................................ 31 Data management scope statement ....47 Initiatives ......................................... 52 Data management services ....... 6, 43, 53 Inputs ............................................... 28 Reporting .......................................... 44 Metrics.............................................. 28 Data mart Mission .............................................18 Purpose ........................................... 222 Non-strategic goals .......................... 19 Data matching ...................................310 Participants...................................... 28 Data migration criteria .....................112 Principles.......................................... 19 Data mining .......................................229 Program............................................ 17 Data model...........................................73 Software product classes.................. 31 Conceptual........................................93 Specialized hardware ....................... 34 Differences........................................91 Suppliers .......................................... 28 Essential ........................................... 73 Technology categories ...................... 30 Integrated.........................................73 Tools ................................................. 28 Integration...................................... 115 Types of organizations ..................... 29 Logical ..............................................96Data Management Physical ............................................99 Context Diagram.............................. 18 Purpose ............................................. 91Data management activities Subject oriented................................73 Control.............................................. 24 Validation .......................................115 Development .................................... 24 Versioning ......................................115 Operational ...................................... 24 Data modeling................................73, 90 Planning ........................................... 24 Logical ..............................................92Data Management Association ......... See Methods ............................................89 DAMA International Physical ..........................................101Data management center of excellence Standards .......................................113 .......................................................... 43 Data naming standards.....................113Data management community of Data operations management .. 6, 20, 40, interest ............................................. 44 129Data management context diagram.... 18 Context diagram.............................129Data Management Curriculum Goals ...............................................129 Framework .........................................9 Guiding principles..........................144Data management executive.. 43, 44, 46, Impedances..................................... 146 81 Issues .............................................. 146Data management function...................6 Process summary ...........................145 List.................................................... 12 Data parsing .............................. 308, 311 Data policy ...........................................47396 Drafting ............................................47 © 2009 DAMA International

Index Topics................................................47 Process summary............................163Data producer ....................................113 Data security policy ...................153, 154Data professional ...............................113Data profiling..................... 188, 301, 308 Responsibility .................................155Data quality .................................16, 291 Data security standards ....................154 Assessment .....................................297 Physical...........................................154 Awareness ......................................294 Data standards Business rules ................................300 Conformance...................................305 Components ......................................48 Control ............................................302 Data steward...... 5, 39, 77, 120, 153, 159 Dimensions .....................................296 Expectation.....................................292 Business........................................5, 40 Fitness for use ................................295 Communication ................................54 Metrics ............................................ 298 Coordinating .....................................40 Operational procedures ..................303 Empowerment ..................................61 Procedures ......................................306 Executive ..........................................40 Tools................................................307 Qualifications ...................................60Data quality framework ....................292 Time commitment ............................60Data quality management.6, 20, 41, 291 Data stewardship.................5, 16, 39, 60 Approach.........................................292 Committee ..................................43, 51 Context diagram.............................291 Facilitator .........................................45 Guiding principles ..........................312 Meta-data .......................................264 Process Summary...........................313 Program steering committee ............42Data quality measurements ..............188 Responsibilities...........................40, 42Data Quality Oversight Board ..........294 Team .....................................42, 48, 51Data recovery plan.............................132 Data strategy .................................46, 52Data resource management...................5 Components ......................................46Data retention plan ...........................137 Deliverables ......................................47Data rules ............................................95 Ownership ........................................46Data security Data technology architecture ......78, 139 Access..............................................157 Components ....................................140 Auditing .......................................... 159 Technologies to include ..................139 Bill of Rights...................................155 Data technology requirements ..........138 Business requirements...................153 Data transformation ..................231, 309 Confidentiality classification .........159 Data value............................................. 3 Monitoring ......................................158 Data warehouse ................ 197, 199, 200 Outsourcing ....................................160 Purpose ...........................................222 Password.........................................156 Data warehouse architecture ..............80 Regulation list ................................167 Data warehouse chess pieces.............207 Regulatory requirements ...............153 Data warehouse management .............20 Stakeholders ................................... 154 Data warehousing......................197, 218Data security Bill of Rights ...............155 Data warehousing and businessData security management6, 20, 40, 151 intelligence Context diagram.............................151 Concepts and definitions ................199 Four As ...........................................152 Data warehousing and business Goals ...............................................151 intelligence management .............. 198 Guiding principles ..........................162 Architecture ....................................220 Issues ..............................................164 Context diagram.............................198 Critical success factors ...................220© 2009 DAMA International Guiding principles ..........................232 Objectives .......................................198 397

DAMA-DMBOK Guide Process summary ........................... 233 Descriptive meta-data .......................265 Projects ........................................... 218 Design review ....................................114Data warehousing management ..... 7, 41Database administration.......................5 Conceptual...................................... 114Database administrator ... 101, 108, 129, Logical ............................................114 137 Physical ..........................................115 Number needed .............................. 148 Detailed data .....................................200 Responsibilities .............................. 102 Detailed data design..........................101Database availability Development activity...........................24 Factors affecting............................. 134 Development DBA .....................129, 132 Loss factors..................................... 134 Dewey Decimal System .......................80 Online criteria ................................ 135 Dice ....................................................226Database backup ............................... 133 Dictionary of Data Management .........11Database changes .............................. 117 Dimension attributeDatabase design Type 1 .............................................214 Best practices ................................. 105 Type 2 .............................................214 Documentation ............................... 107 Type 3 .............................................214 Physical .................................. 102, 103 Type 4 .............................................214Database management system ... 78, 350 Type 6 .............................................215Database management technology ... 140 Dimension attribute types.................213 Alternatives.................................... 142 Dimension tables ...............................212 Software ......................................... 142 Dimensional data model....................201 Steps ............................................... 141 Dimensional data modeling...............210 Tools ............................................... 141 Directory ............................................282Database of record ............................. 190 Disaster Recovery Plan .....................245Database online analytical processing Distributed Management Task Force275 ........................................................ 210 DMS ...... See Data management servicesDatabase performance............... 105, 134 Document / record Causes ............................................ 136 Audit ...............................................247 Monitoring...................................... 135 Management................................... 246 Tuning ............................................ 130 Management lifecycle.....................242Database systems administration Retention ........................................246 Tasks .............................................. 131 Document and content management ...7,Database transaction ........................111 20, 41, 239Database update mechanisms........... 112 Context Diagram............................240Dataset updating ............................... 112 Guiding principles..........................253Datum ....................................................2 Process summary ...........................253DBA................... See Database administrator Subfunctions................................... 239DBMS.......... See Database management Document library system ..................240 system Document management.....................239DCMI ...See Dublin Core Meta-data Initiative Document management system 240, 243DDL................. See Data definition language Document repository .........................243Deming cycle...................................... 292 DODAF ....... See Department of DefenseDenormalization ........................ 101, 106 Architecture Framework (U.S.) Criteria ........................................... 106 DOLAP..........See Database online analyticalDepartment of Defense Architecture Framework (U.S.)............................. 68 processingDependent entity ................................. 94 Domain.................................................98 DQM...............See Data quality management398 Drill down ..........................................226 © 2009 DAMA International

IndexDRM ..... See Data resource management Entity relationship data modeling ....211DTMF...... See Distributed Management Task Entity types..........................................94 Entropy ..............................................315 Force Environmental elements .....................12Dublin Core Meta-data Initiative......275Duplicate identification match rules.186 Basic..................................................12DW chess pieces .................................201 Supporting ........................................13DW-BIM See Data warehousing and business ERP ... See Enterprise resource planning Essential data attribute.......................76 intelligence management Essential subject area..........................75DW-bus architecture..........................217 Ethical activities ................................330DW-bus matrix...........................217, 222 Ethical conduct ..................................328 Ethical data management .................328EAI ............... See Enterprise application Ethical frameworks............................328 integration Ethical information handling ............331 ETL.................. See Extract-Transform-LoadEckerson, Wayne ...............................228 ETL architect .....................................220ECM ..... See Enterprise Content Management European Union...................................50EDM ......See Enterprise data model , See Executive data steward .......................40 Explicit knowledge................................ 3 Enterprise data management Extensible Markup Interface.............252EIM See Enterprise information management Extensible Markup Language ..251, 274,Enterprise application integration....350 275Enterprise architecture ...........63, 66, 71 External data .....................................132Enterprise assets ...................................1 Extract-Transform-Load......78, 110, 136Enterprise Content Management......239Enterprise data architect ....................68 Facet taxonomy..................................249Enterprise data architecture .. 19, 63, 71, Fact tables..........................................211 FASB .............. See Financial Accounting 80, 81, 84Enterprise data architecture steering Standards Board FEA .................... See Federal Enterprise committee .........................................48Enterprise data governance council ....43 ArchitectureEnterprise data management................5 Federal Enterprise Architecture .........68Enterprise data model 48, 64, 71, 72, 73, Federal Geographic Data Committee276 Federal Rules of Civil Procedure ......241 74, 82 Federal Trade Commission................328 Components ......................................77 FGDC ............. See Federal Geographic DataEnterprise data warehouse .............. 197Enterprise Data World .......... 9, 320, 325 CommitteeEnterprise information management...5, Fifth normal form ................................97 16 Financial Accounting Standards BoardEnterprise logical data model..............76Enterprise model .................................66 ..........................................................50Enterprise perspective.........................16 Financial master data........................179Enterprise resource planning ......52, 179 First normal form ................................96Enterprise-wide data architecture ....316 Flat taxonomy ....................................249Entity Foreign key ..........................................99 Business............................................94 Fourth normal form .............................97 Data ..................................................94 Framework Dependent ........................................94 Independent......................................94 Architectural.....................................67Entity definitions.................................98 Classification ....................................67Entity life cycle ....................................77 399© 2009 DAMA International

DAMA-DMBOK Guide Process.............................................. 67 HIPPA ............... See Health InformationFrance DGA Architecture Framework 68 Protection and Portability Act (U.S.)FTC ....... See Federal Trade CommissionFunctional framework Historical data ...................................200 HOLAP.............See Hybrid online analytical DAMA-DMBOK................................ 12Fundamental stored procedure ......... 112 processing Hot backups .......................................134GASB .........See Government Accounting HRM.........See Human resource management Standards Board (U.S.) Hub and spoke ........................... 181, 182 Human resource management ..........179GEA.............See Government Enterprise Hybrid online analytical processing..210 Architecture IAM See Information asset managementGlobal IDs .......................................... 187 ICCP..... See Institute for Certification ofGlossary .............................................282Goals Computing Professionals IDEF1X ................................................89 Data management............................ 18 IE......................See Information engineering Data operations management........ 129 IEEE ............. See Institute of Electrical and Data security management............ 151Golden data values ............................ 188 Electronic EngineersGolden master data ........................... 187 IM............ See Information managementGolden record..................................... 173 Imhoff, Claudia ..................................201Goodwill ...............................................53 IMM ...............See Information ManagementGovernment Accounting Standards Board (U.S.)...................................... 50 MetamodelGovernment Achievement Award ..... 333 Independent entity ..............................94Government Enterprise Architecture . 68 Indexing ..................................... 101, 105Grain .................................................. 216 Information ......................................2, 92Guidelines to Implementing Data Information age .....................................1 Resource Management................... 320 Information architect.........................248Guiding principles Information architecture .....................66 Data architecture management....... 81 Information asset management ............5 Data development .......................... 120 Information consumer ............... 113, 328 Data governance .............................. 56 Information content architecture .....248, Data operations management........ 144 Data quality management ............. 312 250 Data security management............ 162 Information engineering......................89 Data warehouse and business Information gaps ...................................1 Information management......................5 intelligence management ........... 232 Information needs................................72 Document & Content Management Information quality ...........................291 Information resource management .......5 ..................................................... 253 Information system..............................65 Meta-data management................. 284 Information systems planning ...... 67, 79 Reference and master data Information Systems Security management ............................... 192 Certification Consortium .................11 Information technology........................65Health Information Protection and Information technology infrastructure Portability Act (U.S.)................ 49, 328 library .............................................138Hierarchical database management Information Technology Management system............................................. 350 Reform Act........................................69Hierarchical taxonomy ...................... 249 © 2009 DAMA International400

IndexInformation value chain ... 64, 66, 71, 77, Logical data modeling..........................92 82 Logical data names ............................113 Logical design review.........................114Infrastructure for Spatial Information in Europe ........................................276 Machine Readable Catalog ................243 Management by exception .................231Inmon, Bill .........................................199 Many-to-many relationship .................96INSPIRE ......... See Infrastructure for Spatial MapQuest ...........................................138 MARC..........See Machine Readable Catalog Information in Europe Martin, James ................................67, 79Institute for Certification of Computing Massive parallel processing.................34 Master data....................................... 176 Professionals...............................9, 321 Master data environment ..................190Institute of Electrical and Electronic Master data management.6, 20, 40, 171, Engineers..........................................11 173, 177Integrated data ..................................200 Applications ....................................185International Management Metamodel Challenges ......................................177 Data matching ................................185 ........................................................274 Focus areas .....................................177IRM .................See Information resource Key to success .................................191 Master data standards.......................185 management Master data subject area ...................182ISC ..........See Information Systems Security Master database of record .................182 Match-link rules.................................186 Certification Consortium Match-merge rules .............................186Islands of data....................................155 MDA ............ See Model Driven ArchitectureISO 15489 ..........................................239 MDM .............. See Master data managementISO/IEC 11179 ...................................277 Message broker ..................................110ISO/IEC 25961 .....................................68 Meta-data...............................2, 259, 261ISP....See Information systems planning Architecture ......................................80IT governance ......................................38 Current focus ..................................267IT Infrastructure ...................................6 Delivery mechanisms .....................283IT security policy ...............................154 History ............................................266ITIL ............. See Information technology Integration......................................280 Leveraging ......................................259 infrastructure library Managed environment ...................270 Management.................7, 41, 248, 259Key .......................................................99 Quality ............................................279 Candidate .........................................99 Repository.................80, 281, 282, 283 Composite .........................................99 requirements ..................................269 Foreign..............................................99 Scope ...............................................261 Surrogate ..........................................99 Sources............................................265 Standards .......................................266Kimball, Ralph................... 200, 206, 210 Tools................................................250Knowledge..............................................3 Types...............................................262 Unstructured data..................249, 264 Explicit ...............................................3 Uses ................................................283 Tacit ....................................................3 Meta-data architecture ......................270Knowledge asset ..................................67Knowledge management .......................3 401Knowledge worker .................................3Legacy data migration .......................118Lifetime Achievement Award............332Linked server .....................................109Linnaeus ..............................................80Location master data .........................180Logical data model................... 72, 76, 96© 2009 DAMA International

DAMA-DMBOK Guide Bi-directional.................................. 272 Network taxonomy ............................249 Centralized..................................... 271 Non-strategic goals Distributed ..................................... 271 Hybrid ............................................ 272 Data Management............................19Meta-data management ...................... 20 Non-tabular data ...............................241 Context diagram ............................ 259 Non-volatile data ...............................200 Guiding principles.......................... 284 Normalization ......................................96 Initiative......................................... 279 Priority ........................................... 288 Boyce/Codd .......................................97 Process summary ........................... 285 Fifth normal .....................................97Meta-data management system........ 270 First normal .....................................96Meta-data requirements Fourth normal ..................................97 Business user requirements .......... 269 Second normal ..................................96 Technical user requirements ......... 270 Sixth normal.....................................97Meta-data specialist .......................... 220 Third normal ....................................96Meta-data standards ......................... 273 Notable data management professionals Consensus....................................... 273 ........................................................ 332 International .................................. 277 Noun............................................... 92, 94Meta-data strategy ............................267 Phases ............................................ 268 Object role modeling ............................90Meta-Object Facility .......................... 277 Object-oriented database managementMethods of data modeling ................... 89Meta-data........................................... 277 system............................................. 350Migration OCR software.....................................243 Legacy data .................................... 118 ODM..... See Ontology Definition MetamodelMinistry of Defense Architecture ODS................... See Operational data stores Framework (U.K.) ............................ 68 OIM ................ See Open Information ModelMission of data management .............. 18 OLAP..........See Online analytical processingMODAF............. See Ministry of Defense OLTP........ See Online transaction processing Architecture Framework (U.K.) OLTP processing................................138Model ...................................................91 One-to-many relationship....................96Model Driven Architecture................ 277 One-to-one relationship .......................96MOF ......................See Meta-Object Facility Online analytical processing .... 209, 226,MOLAP ... See Multi-dimensional OLAP, 350 See Multi-dimensional online analytical Online transaction processing...........173 Ontology .............................................249 processing OODBMS . See Object-oriented databaseMonitoring data security ................... 158Morris, Henry .................................... 227 management systemMPP ............See Massive parallel processing Open Information Model ...................274Multi-dimensional database Operational activity.............................24 Operational business intelligence .....209 management system ...................... 350 Operational data store.......................183Multi-dimensional OLAP .................. 350 Operational data stores .......................79Multi-dimensional online analytical Operational meta-data ......................263 ORM ..................... See Object role modeling processing....................................... 210 Outrigger table ..................................215 OutsourcingNatural key........................................ 213Network database management system Data security ..................................160 ........................................................ 350 Partitioning........................................ 101 Party master data..............................178402 © 2009 DAMA International

Index Challenges ......................................179 Data warehousing and businessPassword ............................................156 intelligence management............233Payment Card Industry Data Security Document and content management Standards .........................................50 .....................................................253PCI-DSS ..... See Payment Card Industry Meta-data management .................285 Data Security Standards Reference and master dataPDI .................. See Product data integrationPerformance management.................228 management................................193Personal information Product data integration ...................185 Product lifecycle management...........179 Guidelines.......................................329 Product master data ..........................179Personal Information Protection and Production DBA .........................129, 132 Electronic Documentation Act .......329 Deliverables ....................................130Physical data model.............................99 Responsibility .................................130Physical data modeling......................101 Profession.......................................... 319Physical data names ..........................113 Common features ...........................319Physical database design... 102, 103, 105 Professional Achievement Award......332Physical design review.......................115 Professional conduct ..........................328PIPEDA.......... See Personal Information Project ................................................. 87 Project charter .....................................92 Protection and Electronic Project Management Body of Knowledge Documentation Act ..........................................................11Pivot ...................................................226 Project Management Institute.............11Planning activity..................................24 Project management office...................52PLM......... See Product lifecycle management Project Management Professional .......11PMBOK .. See Project Management Body Proof of concept ..................................143 of KnowledgePMI... See Project Management Institute Quality assurance certification..........132PMO ....... See Project management office Query and reporting ..........................223PMP.... See Project Management ProfessionalPOC ......................... See Proof of concept RACI............. See Responsible, Accountable,Policy Data security ..................................153 Consulted, and InformedPorter, Michael ....................................77 RDBMS ............ See Relational databasePrecision.............................................296Predictive analytics ...........................229 management systemPrimary subject area ...........................76 RDF ....See Relational Definition Framework,Principles of data management...........19PRISM ................................................ 104 See Record Description FormatPrivacy ...............................................296 Reasonableness ..................................297Process architecture.............................66 Record Description Format................251Process framework...............................67 Record quality ....................................252Process meta-data..............................263 Recursive relationship .........................96Process summary Reference and master data Data architecture management .......82 Data development ..........................121 Integration......................................180 Data governance...............................57 Lineage ...........................................180 Data operations management........145 Sharing ...........................................173 Data quality management .............313 Solutions .........................................185 Data security management ............163 Reference and master data management Context diagram.............................171© 2009 DAMA International Drivers ............................................172 Guiding principles ..........................192 403

DAMA-DMBOK Guide Process summary ........................... 193 SAM ................... See Subject area modelReference data ................................... 174 Sarbanes-Oxley Act 38, 49, 132, 241, 328 Scanning repositories ........................280 Change............................................ 191 Scorecard............................................ 227 Integration ..................................... 190 SDLC....See System Development Life CycleReference data management.... 6, 20, 40, Second law of thermodynamics .........315 171, 173 Second normal form.............................96Reference data set ............................. 174 Self-regulatory regimes .....................328 Meta-data ....................................... 176 Semantic modeling ............................249 Slow change.................................... 190 Semantic Web ....................................251Reference data value domains .......... 176 Semi-structured data................. 241, 252Reference table .................................. 174 Service Level Agreement .. 132, 134, 221,Referential integrity .......................... 297Referential integrity rules................... 95 291, 302, 304, 307Regulations Service-oriented architectuure ... 87, 109, Data security.................................. 167Regulatory compliance ........................ 49 209 Questions.......................................... 50 Seven Habits......................................223Regulatory requirements Sixth normal form................................97 Data security.................................. 153 SLA ............ See Service level agreementRelational database management Slice-and-dice ..................................... 226 system............................................. 350 SMART acronym............................ 19, 46Relational Definition Framework ..... 275 SME .....................See Subject matter expertRelational OLAP........................ 210, 350 SMP......... See Symmetrical multi-processingRelationship......................................... 95 Snowflake table .................................215 Many-to-many .................................. 96 Snowflaking .......................................215 One-to-many..................................... 96 SOA ......... See Service-oriented architectuure One-to-one ........................................ 96 SOA web services...............................110 Recursive .......................................... 96 Software product classes .....................31Relationship types ............................... 96 Solvency II ...........................................50Replication ......................................... 110 Source-to-target mapping..................230Replication scheme ............................ 133 Sousa, Ryan .......................................201Repository scanning .......................... 280 Specialized hardware ..........................34Requirements analysis ........................ 92 SQL ...............See Structured query languageResponsibilities Staging area.......................................230 Database administrator ................. 102 StakeholdersResponsible, Accountable, Consulted, and Informed.................................. 161 Data security ..................................154Data management ............................... 52 StandardsROLAP ........... See Relational OLAP, See Data security ..................................154 Relational online analytical processing Meta-data .......................................266Roll up................................................ 226 Star schema .......................................215Rules State transition diagram .....................77 Strategic business intelligence..........208 Action ............................................... 95 Structural meta-data.........................265 Business ........................................... 95 Structured query language........ 102, 274 Cardinality ....................................... 95 Subject area .........................................93 data................................................... 95 Essential ........................................... 75 Referential integrity ........................ 95 Primary.............................................76 Subject area model ..............................74404 © 2009 DAMA International

IndexSubject matter expert ..................87, 119 What is it ........................................... 3Subject oriented data.........................199 Type 1 dimension attribute ...............214Summarized data...............................200 Type 2 dimension attribute ...............214Surrogate key...............................99, 212 Type 3 dimension attribute ...............214SWEBOK ...... See Software Engineering Type 4 dimension attribute ...............214 Type 6 dimension attribute ...............215 Body of KnowledgeSymmetrical multi-processing.............34 UML ............ See Unified modeling languageSystem Development Life Cycle .....4, 20, Unified modeling language..........90, 274 Uniqueness.........................................297 68, 87 Universal meta-data models..............266 Activities...........................................88 Universal Standard Products andSystem of record.............See Golden recordSystems architecture ...........................66 Services Classification....................175 University of California at Berkeley .... 1Tacit knowledge .....................................3 UNSPSC.... See Universal Standard ProductsTactical business intelligence........... 208Taxonomic reference data..................175 and Services ClassificationTaxonomy.............................80, 231, 248 Unstructured data .............240, 241, 252 Facet ...............................................249 Management ...................................252 Flat .................................................249 Meta-data ...............................249, 264 Hierarchical .................................... 249 Updatable views.................................112 Network ..........................................249TCO ................................................... 143 ValidationTDWISee The Data Warehouse Institute Data model......................................115Technical architect.............................220Technical meta-data ..........................262 Validity...............................................297Technology architecture ................65, 66 Value chain Categories .........................................78 Components ......................................79 Business intelligence......................315Test data ............................................117 Business value chain........................77Testing Information value chain64, 66, 71, 77, Data access .....................................118 Products .......................................... 118 82The Data Warehouse Institute..............9 Value domain .....................................174The four As of data security Verbs ....................................................92 management ...................................152 Very large databases............................34The Open Group...................................68 Views ..................................................101 Architectural Framework ................68 VLDB.................... See Very large databasesThird normal form ...............................96 Vocabulary .................................187, 189Third party data ................................132 Vocabulary management .................. 187Time variant data ..............................200Timeliness ..........................................297 Key questions .................................187TOGAF ................... See The Open Group Architectural Framework W3C......... See World Wide Web ConsortiumTotal cost of ownership (TCO) ...........143 Web Based Enterprise Management.275Transaction log WEBM ................ See Web Based Enterprise Backup ............................................ 133 Dump ..............................................133 ManagementTruth Wisdom.................................................. 3 World Wide Web ................................251© 2009 DAMA International World Wide Web Consortium ............275 XMI............ See Extensible Markup Interface XML.......... See Extensible Markup Language 405

DAMA-DMBOK GuideXML databases .................................. 138 Implementer perspective .................70 Implementer view ............................72Zachman Enterprise Framework ........ 68 Network column ...............................70Zachman Framework Owner perspective............................70 Builder perspective .......................... 70 Owner view.......................................72 Builder view ..................................... 72 Participant perspective ....................70 Data column ..................................... 70 People column ..................................70 Designer perspective........................ 70 Planner perspective..........................70 Designer view................................... 72 Planner view.....................................72 Function column .............................. 70 Functioning Enterprise view ........... 72 Reasons for adoption ........................71 Goal column...................................... 70 Time column.....................................70 Zachman, John ............................ 69, 332406 © 2009 DAMA International