Acknowledgements |
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i | |
Foreword |
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iii | |
Introduction |
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v | |
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7 | (4) |
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What is So Special About Data Models? |
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11 | (8) |
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11 | (2) |
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13 | (1) |
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14 | (2) |
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16 | (3) |
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19 | (8) |
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20 | (1) |
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21 | (6) |
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27 | (6) |
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28 | (1) |
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29 | (4) |
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33 | (10) |
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35 | (2) |
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37 | (3) |
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Identifying and Non-Identifying Relationships |
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40 | (1) |
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41 | (2) |
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What Makes a Definition Great? |
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43 | (4) |
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44 | (1) |
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44 | (1) |
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45 | (2) |
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What is the Subject Area Model? |
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47 | (8) |
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Business Subject Area Model (BSAM) |
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48 | (3) |
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Application Subject Area Model (ASAM) |
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51 | (2) |
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Comparison Subject Area Model (CSAM) |
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53 | (2) |
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What is the Logical Data Model? |
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55 | (26) |
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55 | (2) |
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57 | (3) |
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60 | (8) |
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68 | (3) |
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71 | (3) |
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74 | (7) |
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What is the Physical Data Model? |
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81 | (24) |
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81 | (12) |
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93 | (2) |
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95 | (1) |
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96 | (1) |
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97 | (2) |
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99 | (6) |
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What is the Best Approach to Build the Models? |
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105 | (6) |
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Purpose + Audience = Deliverables |
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105 | (2) |
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Deliverables + Resources + Time = Approach |
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107 | (4) |
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How Do I Validate a Data Model? |
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111 | (16) |
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How Well Does the Model Capture the Requirements? |
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113 | (3) |
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How Complete is the Model? |
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116 | (1) |
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How Structurally Sound is the Model? |
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117 | (2) |
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How Well Does the Model Leverage Generic Structures? |
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119 | (1) |
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How Well Does the Model Follow Naming Standards? |
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120 | (1) |
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How Well Has the Model Been Arranged for Readability? |
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121 | (1) |
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How Good are the Definitions? |
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122 | (1) |
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How Well Has the Real World Context Been Incorporated? |
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123 | (1) |
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How Consistent is the Model with the Enterprise? |
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124 | (1) |
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How Well Does the Metadata Match the Data? |
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125 | (2) |
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Top 3 Most Frequently Asked Questions |
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127 | (4) |
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How Do I Keep My Modeling Skills Sharp? |
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127 | (1) |
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What is the Best Data Modeling Tool? |
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128 | (1) |
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What is the Future Role of the Data Modeler? |
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128 | (3) |
Suggested Reading |
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131 | (1) |
Books |
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131 | (1) |
Web Sites |
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131 | |