LEADER 01331nam 2200457 450 001 9910810656303321 005 20220928113125.0 010 $a84-1377-166-8 035 $a(CKB)4100000011715733 035 $a(MiAaPQ)EBC6484204 035 $a(Au-PeEL)EBL6484204 035 $a(OCoLC)1229973027 035 $a(MiAaPQ)EBC6779619 035 $a(OCoLC)1241984601 035 $a(FINmELB)ELB172057 035 $a(EXLCZ)994100000011715733 100 $a20220529d2020 uy 0 101 0 $aspa 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 13$aUn Paseo Simbolico Por el Bosque $eAproximacion a Su Dimension Originaria /$fAna Esther Santamaria 210 1$aMadrid :$cDykinson, S.L.,$d[2020] 210 4$dİ2020 215 $a1 online resource (84 pages) 225 0 $aArte y humanidades 300 $aContiene i?ndice. 311 $a84-1377-139-0 320 $aIncluye bibliografi?a. 606 $aHumanities$xSocial aspects 615 0$aHumanities$xSocial aspects. 676 $a001.3 700 $aSantamaria$b Ana Esther$01687509 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910810656303321 996 $aUn Paseo Simbolico Por el Bosque$94061052 997 $aUNINA LEADER 05162nam 2200637Ia 450 001 9910139872603321 005 20230912125929.0 010 $a1-78017-059-9 010 $a1-906124-46-9 035 $a(CKB)1000000000807338 035 $a(EBL)634524 035 $a(OCoLC)764571158 035 $a(SSID)ssj0000486672 035 $a(PQKBManifestationID)11318108 035 $a(PQKBTitleCode)TC0000486672 035 $a(PQKBWorkID)10441448 035 $a(PQKB)10878404 035 $a(CaSebORM)9781902505718 035 $a(MiAaPQ)76016 035 $a(MiAaPQ)EBC634524 035 $a(OCoLC)761693442 035 $a(OCoLC)ocn761693442 035 $a(EXLCZ)991000000000807338 100 $a20060413d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aPractical data migration /$fJohn Morris 205 $a1st edition 210 $aSwindon $cBritish Computer Society$dc2006 215 $a1 online resource (227 p.) 300 $aIncludes index. 311 $a1-902505-71-9 327 $a""Copyright""; ""Contents""; ""List of Figures and Tables""; ""Author""; ""Foreword""; ""Glossary""; ""Preface""; ""Introduction""; ""Part One Reasons and Methods""; ""1 Reasons""; ""WHY QUALITY DATA MIGRATION MATTERS""; ""A PRACTITIONER'S PERSPECTIVE""; ""2 The Golden Rules""; ""THE MOST IMPORTANT LESSONS""; ""3 Data Stakeholders""; ""INTRODUCTION""; ""THE COMMUTER AND THE KNIGHT ERRANT""; ""OWNERSHIP""; ""FINDING THE RIGHT FELLOW TRAVELLERS""; ""4 Four Key Concepts""; ""FIRST: A HEALTH WARNING""; ""USING CONCEPTUAL ENTITY MODELS TO DEFINE THE KEY BUSINESS DATA AREAS"" 327 $a""DOCUMENTING KEY BUSINESS DATA AREA RELATIONS""""DOCUMENTING INDIVIDUAL KEY BUSINESS DATA AREAS""; ""CONFUSING DATA STRUCTURES AND BUSINESS FUNCTIONS""; ""LEGACY DATA STORES""; ""DOCUMENTING LEGACY DATA STORES""; ""5 Data Quality Rules""; ""INTRODUCING DATA QUALITY RULES""; ""A TYPICAL DATA QUALITY RULE DOCUMENT""; ""DATA QUALITY ASSESSMENT""; ""METHOD STATEMENTS""; ""METRICS""; ""GENERATING DATA QUALITY RULES""; ""6 Data Gaps and Data Mapping""; ""HEALTH WARNING""; ""STANDARD DATA MIGRATION TERMS""; ""DATA GAP ANALYSIS""; ""DATA MAPPING""; ""7 Non-functional Requirements""; ""INTRODUCTION"" 327 $a""DATA SIZING""""RUN TIMES""; ""SEQUENCING""; ""HARDWARE AND SOFTWARE CONSIDERATIONS""; ""WINDOWS OF OPPORTUNITY""; ""DATA MIGRATION IMPLEMENTATION FORMS""; ""FALLBACK""; ""THE JONE WAY STREET' PROBLEM""; ""Part Two Specimen Project""; ""8 Project Overview""; ""INTRODUCTION""; ""SPECIMEN PROJECT OVERVIEW""; ""WHY A SEPARATE PROJECT?""; ""BACK TO THE EXAMPLE PROJECT""; ""USE OF ITERATION""; ""PROJECT CONTROL POINTS AND PLANNING""; ""9 Stage 0 Project Initiation""; ""INTRODUCTION""; ""STANDARD PROJECT INITIATION DELIVERABLES""; ""CREATE YOUR OWN DATA MIGRATION STRATEGY"" 327 $a""FIRST-CUT PROJECT PLAN""""SET UP AN APPROPRIATE PROJECT SUPPORT OFFICE FUNCTION""; ""INITIAL LISTS OF DATA STORE OWNERS, LEGACY DATA STORES AND KEY BUSINESS DATA AREAS""; ""STAGE 0 CLOSEDOWN""; ""STAGE 0 PROJECT CONTROL POINTS""; ""10 Stage 1 Data Preparation""; ""STEP 1.0: STAGE INITIATION""; ""STEP 1.1: ANALYSE LEGACY DATA STORES""; ""STEP 1.2: UPDATE KEY BUSINESS DATA AREA MODELS""; ""STEP 1.3: CREATE FIRST-CUT SYSTEM RETIREMENT POLICIES""; ""STEP 1.4: CREATE DATA QUALITY RULES""; ""STEP 1.5: ENACT DATA QUALITY RULES""; ""DATA TRANSITIONAL RULES""; ""TRANSIENT DATA STORES"" 327 $a""USE OF RECURSION""""STAGE 1 CLOSEDOWN""; ""STAGE 1 PROJECT CONTROLS""; ""11 Stage 2 Data Preparation""; ""STEP 2.0: STAGE INITIATION""; ""STEP 2.1: NOMINATE CANDIDATE LEGACY DATA STORES""; ""STEP 2.2: CREATE STAGE 2 DATA QUALITY RULES""; ""STEP 2.3: ENACT DATA QUALITY RULES""; ""STEP 2.4: ENHANCE SYSTEM RETIREMENT POLICIES""; ""DATA TRANSITIONAL RULES""; ""TRANSIENT DATA STORES""; ""STAGE 2 CLOSEDOWN""; ""STAGE 2 PROJECT CONTROLS""; ""12 Stage 3 Build, Test and Go Live""; ""STAGE 3 OVERVIEW""; ""STEP 3.0: STAGE INITIATION""; ""STEP 3.1: PHYSICAL DESIGN OF MIGRATION"" 327 $a""STEP 3.2: DATA MIGRATION TESTING"" 330 $aEnsuring the success of data migration projects is crucial, especially if a business is looking to achieve maximum return on its investment. By following the best practice model devised by the author, a smooth and problem-free migration can be assured. The guide contains techniques and strategies blended with real-life examples and clear definitions of the most commonly used terminology. It debunks the mysteries that surround this subject, providing a template for judging the performance of in-house or brought in skills. For the IT practitioner who has been given responsibility for managing 606 $aDatabase management 606 $aElectronic data processing 615 0$aDatabase management. 615 0$aElectronic data processing. 676 $a005.74 676 $a005.7565 700 $aMorris$b John$0380668 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910139872603321 996 $aPractical data migration$92322488 997 $aUNINA