LEADER 05244nam 2200673Ia 450 001 9910139872603321 005 20230912125929.0 010 $a9781780170596 010 $a1780170599 010 $a9781906124465 010 $a1906124469 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 $aIncludes index. 311 08$a9781902505718 311 08$a1902505719 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 LEADER 01535nam0 22003131i 450 001 UON00449430 005 20231205105035.78 010 $a978-39-451-5101-3 100 $a20150115d2014 |0itac50 ba 101 $ager 102 $aDE 105 $a|||| 1|||| 200 1 $aˆDie ‰"Vier yoga"-Stufen der Mahamudra- Meditationstradition$eEine Anthologie aus den Gesammelten Schriften des Mönchsgelehrten und Yogin Phag mo gru pa rDo rje rgyal po (Kritischer Text und Übersetzung, eingeleitet und erläutert)$fAlexander Schiller 210 $aHamburg$cDepartment of Indian and Tibetan Studies, Universität Hamburg$d2014 215 $aXXIV, 860 p.$d25 cm 311 $aTIB VII 163 N$9UON00449427 410 0$1001UON00449427$12001 $aIndian and Tibetan studies$fEdited by Harunaga Isaacson and Dorji Wangchuk$v2 TIB VII 163 N 606 $aPATANJALI YOGASUTRA$3UONC086689$2FI 606 $aYOGA$xTRADUZIONI$xCOMMENTI$3UONC017864$2FI 620 $aDE$dHamburg$3UONL003222 686 $aTIB VII$cTibet - Religione e filosofia$2A 700 1$aSCHILLER$bAlexander$3UONV225217$0713580 712 $aUniversität Hamburg$3UONV254936$4650 801 $aIT$bSOL$c20250711$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00449430 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI TIB VII 163 N $eSI 12226 7 163 N 996 $a"Vier yoga"-Stufen der Mahamudra- Meditationstradition$91329314 997 $aUNIOR