| Guest Introduction |
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xiii | |
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| Guest Introduction |
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xv | |
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| Preface (Includes the Reader's Guide) |
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xvii | |
| Acknowledgments |
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xxvii | |
| Part One Overview of Fundamental Concepts |
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3 | (22) |
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Topics Covered in this
Chapter |
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3 | (1) |
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4 | (2) |
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6 | (1) |
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Drivers for Providing Data as a Service |
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7 | (5) |
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Data as a Service Framework: A Paradigm Shift |
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12 | (13) |
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2 DaaS Strategy and Reference Architecture |
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25 | (18) |
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Topics Covered in this
Chapter |
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25 | (1) |
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Enterprise Data Strategy, Goals, and Principles |
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26 | (2) |
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28 | (2) |
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Reference Architecture of the DaaS Framework |
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30 | (11) |
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How to leverage the DaaS Reference Architecture |
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41 | (1) |
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41 | (2) |
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43 | (20) |
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Topics Covered in this
Chapter |
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43 | (3) |
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Introduction to Major Categories of Enterprise Data |
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46 | (8) |
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Transaction Data (Includes Big Data) |
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54 | (2) |
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Significance of EIM in Supporting the DaaS Program |
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56 | (1) |
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Role of Enterprise Data Architect |
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57 | (2) |
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59 | (4) |
| Part Two DaaS Architecture Framework and Components |
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4 Enterprise Data Services |
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63 | (17) |
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Topics Covered in this
Chapter |
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63 | (1) |
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Emergence of Enterprise Data Services |
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64 | (1) |
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Need for an Enterprise Perspective |
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65 | (1) |
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Emergence of Enterprise Data Services |
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66 | (3) |
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Publication of Enterprise Data |
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69 | (4) |
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Interdependencies between DaaS, EIM, and SOA |
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73 | (3) |
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Case Study: Amazon's Adoption of Public Data Service Interfaces |
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76 | (3) |
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79 | (1) |
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5 Enterprise and Canonical Modeling |
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80 | (23) |
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Topics Covered in this
Chapter |
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80 | (1) |
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A Model-Driven Approach Toward Developing Reusable Data Services |
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81 | (1) |
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Defining a Standards-Driven Approach toward Developing New Data Services |
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82 | (1) |
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Role of the Enterprise Data Model |
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83 | (1) |
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Developing the Canonical Model |
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84 | (1) |
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85 | (1) |
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85 | (4) |
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Implementing the Canonical Model |
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89 | (4) |
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Publishing Data Services with the Canonical Model as a Foundation |
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93 | (2) |
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Implementing the Canonical Model in Real-life Projects |
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95 | (2) |
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Data Services Roll Out and Future Releases |
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97 | (1) |
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Case Study: DaaS in Real Life, Electronic-Data Interchange in U.S. Healthcare Exchanges |
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98 | (4) |
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102 | (1) |
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6 Business Glossary for DaaS |
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103 | (20) |
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Topics Covered in this
Chapter |
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103 | (1) |
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Problem of Meaning and the Case for a Shared Business Glossary |
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104 | (2) |
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Using Metadata in Various Disciplines |
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106 | (2) |
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Role of an Organization's Business Glossary |
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108 | (5) |
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Enterprise Metadata Repository |
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113 | (2) |
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Implementing the Enterprise Metadata Repository |
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115 | (1) |
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Metadata Standards for Enterprise Data Services |
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116 | (5) |
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121 | (1) |
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121 | (2) |
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7 SOA and Data Integration |
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123 | (23) |
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Topics Covered in this
Chapter |
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123 | (1) |
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SOA as an Enabler of Data Integration |
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124 | (3) |
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Role of Enterprise Service Bus |
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127 | (1) |
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128 | (3) |
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Foundational Components of a Data Service |
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131 | (2) |
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133 | (1) |
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133 | (3) |
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Overview of Data Virtualization |
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136 | (7) |
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Consolidated Data Infrastructure Platform |
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143 | (2) |
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145 | (1) |
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8 Data Quality and Standards |
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146 | (21) |
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Topics Covered in this
Chapter |
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146 | (4) |
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Where to Begin Data Standardization Efforts in Your Organization |
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150 | (2) |
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Role of Data Discovery/Profiling to Identify DaaS Quality Issues |
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152 | (4) |
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Data Quality and the Investment Paradox |
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156 | (1) |
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Quality of a Data Service |
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157 | (1) |
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Setting Up Standards in a DaaS Environment |
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158 | (5) |
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163 | (4) |
| Part Three DaaS Solution Blueprints |
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9 Reference Data Services |
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167 | (20) |
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Topics Covered in this
Chapter |
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167 | (2) |
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Delivering Market and Reference Data Using Real-Time Data Services |
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169 | (2) |
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Comparing Usage of Reference Data Against Master Data |
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171 | (2) |
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Understanding Challenges of Reference Data Management |
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173 | (1) |
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Other Reference Data Management Challenges |
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174 | (3) |
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Role of Reference Data Standards and Vocabulary Management |
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177 | (3) |
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Collaborative Reference Data Management Implementation Using Business Process Management/Workflow |
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180 | (5) |
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185 | (2) |
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187 | (23) |
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Topics Covered in this
Chapter |
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187 | (1) |
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Introduction to Master Data Services |
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188 | (4) |
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Pros and Cons of Master Data Services (Virtual Master Data Management) |
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192 | (1) |
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Leveraging the Golden Source to Resolve Deep-Rooted Source Differences |
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193 | (1) |
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Future Trends in Master Data Management Using DaaS |
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194 | (2) |
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Comparing Master Data Services Approach (Virtual) with Master Data Management Approach Involving Physical Consolidation |
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196 | (1) |
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Case Study: Master Data Services for a Premier Investment Bank |
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197 | (1) |
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Detailed Scope and Benefits |
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198 | (1) |
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Proposed Solution Architecture for Master Data Services |
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199 | (3) |
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Enterprise and Canonical Model for Master Data Management Implementation |
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202 | (6) |
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208 | (2) |
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11 Big Data and Analytical Services |
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210 | (27) |
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Topics Covered in this
Chapter |
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210 | (2) |
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212 | (1) |
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213 | (4) |
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Relationship Between DaaS and Big Data Analytics |
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217 | (3) |
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Future Impact of DaaS on Big Data Analytics |
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220 | (1) |
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Extending DaaS Reference Architecture for Big Data and Cloud Services |
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221 | (7) |
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Fostering an Enterprise Data Mindset |
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228 | (3) |
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Case Study: Big DaaS in the Automotive Industry |
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231 | (2) |
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233 | (4) |
| Part Four Ensuring Organizational Success |
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12 DaaS Governance Framework |
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237 | (25) |
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Topics Covered in this
Chapter |
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237 | (1) |
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238 | (2) |
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240 | (5) |
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245 | (3) |
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248 | (5) |
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253 | (5) |
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258 | (3) |
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261 | (1) |
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13 Securing the DaaS Environment |
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262 | (18) |
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Topics Covered in this
Chapter |
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262 | (1) |
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Impact of Data Breach on DaaS Operations |
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263 | (1) |
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Major Security Considerations for DaaS |
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264 | (2) |
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Multilayered Security for the DaaS Environment |
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266 | (4) |
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Identity and Access Management |
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270 | (1) |
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Data Entitlements to Safeguard Privacy |
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271 | (1) |
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Impact of Increased Privacy Regulations on Data Providers |
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272 | (1) |
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Information Risk Management |
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273 | (2) |
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Important Data Security and Privacy Regulations that Impact DaaS |
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275 | (2) |
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Checklist to Protect Data Providers from Data Breaches |
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277 | (1) |
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278 | (2) |
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14 Taking DaaS from Concept to Reality |
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280 | (17) |
|
Topics Covered in this
Chapter |
|
|
280 | (4) |
|
Service Performance Measurement Using the Balanced Scorecard |
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|
284 | (2) |
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Implementing the Performance Scorecard to Improve Data Services |
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286 | (1) |
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Embarking on the DaaS Journey with a Vision |
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287 | (3) |
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Using AGILE Principles for New Data Services Development |
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290 | (2) |
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Sustaining DaaS in an Organization: How to Keep the Program Going |
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292 | (3) |
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|
295 | (2) |
| Appendix A Data Standards Initiatives and Resources |
|
297 | (8) |
| Appendix B Data Privacy & Security Regulations |
|
305 | (4) |
| Appendix C Terms and Acronyms |
|
309 | (3) |
| Appendix D Bibliography |
|
312 | (3) |
| Index |
|
315 | |
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