LEADER 03942nam 22006254a 450 001 9910784543203321 005 20230120004744.0 010 $a1-281-05033-4 010 $a0-08-047703-8 035 $a(CKB)1000000000364640 035 $a(EBL)294073 035 $a(OCoLC)469499138 035 $a(SSID)ssj0000293431 035 $a(PQKBManifestationID)11214831 035 $a(PQKBTitleCode)TC0000293431 035 $a(PQKBWorkID)10272724 035 $a(PQKB)11275458 035 $a(Au-PeEL)EBL294073 035 $a(CaPaEBR)ebr10185974 035 $a(CaONFJC)MIL105033 035 $a(CaSebORM)9780120887989 035 $a(MiAaPQ)EBC294073 035 $a(EXLCZ)991000000000364640 100 $a20060403d2006 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aData model patterns$b[electronic resource] $ea metadata map /$fDavid C. Hay 205 $a1st edition 210 $aAmsterdam ;$aBoston $cElsevier Morgan Kaufmann$dc2006 215 $a1 online resource (427 p.) 225 1 $aThe Morgan Kaufmann series in data management systems 300 $aDescription based upon print version of record. 311 $a0-12-088798-3 320 $aIncludes bibliographical references (p. 391-394) and index. 327 $aFront Cover; Title Page; Copyright Page; Table of contents; PREFACE; ABOUT METADATA; ABOUT THIS BOOK; ACKNOWLEDGMENTS; FOREWORD; 1 ABOUT METADATA MODELS; WHAT ARE METADATA?; IN SEARCH OF METADATA; THE ARCHITECTURE FRAMEWORK; METAMODELS AND THE FRAMEWORK; THE NOTATION: OBJECT AND ENTITY CLASSES; LEVEL OF ABSTRACTION; 2 DATA; DATA AND THE ARCHITECTURE FRAMEWORK; THE BUSINESS OWNER AND BUSINESS RULES; ROW TWO: BUSINESS TERMS, CONCEPTS, AND FACT TYPES; ROW THREE: THE ENTITY-RELATIONSHIP DIAGRAM; ROW FOUR: DATA DESIGN; ROW SIX: THE PRODUCTION SYSTEM; 3 ACTIVITIES, FUNCTIONS, AND PROCESSES 327 $aACTIVITIES AND THE ARCHITECTURE FRAMEWORK DEFINITIONS; TYPES OF PROCESS MODELS; ROW TWO: FUNCTIONS AND BUSINESS PROCESSES; ROW THREE: PROCESSING DATA; ROW FOUR: PROGRAM MODULES; ROW SIX: PROGRAM INVENTORY; 4 LOCATIONS; ABOUT LOCATIONS; ROW TWO: PLACING PARTIES, BUSINESS PROCESSES, AND MOTIVATION; ROW THREE: DATA FLOW DIAGRAMS; ROW FOUR: PLACING DATA AND PROGRAMS; ROW SIX: SYSTEM INVENTORY; 5 PEOPLE AND ORGANIZATIONS; THE PEOPLE AND ORGANIZATIONS COLUMN; ABOUT PEOPLE AND ORGANIZATIONS; ROW TWO: THE BUSINESS OWNER'S VIEW; ROW THREE: THE ARCHITECT'S VIEW; ROW FOUR: THE DESIGNER'S VIEW 327 $aROW SIX: SECURITY AND GOVERNANCE 6 EVENTS AND TIMING; THE EVENTS AND TIMING COLUMN; ROW TWO: BUSINESS EVENT TYPES; ROW THREE: SYSTEM EVENTS; ROW FOUR: PROGRAM EVENTS; 7 MOTIVATION; THE MOTIVATION COLUMN; ROW THREE: THE ARCHITECT'S VIEW; ROW FOUR: THE DESIGNER'S VIEW; ROW SIX: MEASURING DATA QUALITY; GLOSSARY; REFERENCES AND FURTHER READING; ABOUT THE AUTHOR; INDEX 330 $aIn recent years, companies and government agencies have come to realize that the data they use represent a significant corporate resource, whose cost calls for management every bit as rigorous as the management of human resources, money, and capital equipment. With this realization has come recognition of the importance to integrate the data that has traditionally only been available from disparate sources. An important component of this integration is the management of the "metadata? that describe, catalogue, and provide access to the various forms of underlying business data. The "me 410 0$aMorgan Kaufmann series in data management systems. 606 $aData warehousing 606 $aMetadata 615 0$aData warehousing. 615 0$aMetadata. 676 $a005.74 700 $aHay$b David C.$f1947-$01528716 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910784543203321 996 $aData model patterns$93772551 997 $aUNINA