Data as a service : a framework for providing reusable enterprise data services

Content: Guest Introduction     Sanjoy Paul xiii   Guest Introduction     Christopher Surdak xv    Preface (Includes the Reader   s Guide) xvii    Acknowledgments xxvii    Part One Overview of Fundamental Concepts    1. Introduction to DaaS 3    Topics Covered in this Chapter 3    Data-Driven Enterprise 4    Defining a Service 6    Drivers for Providing Data as a Service 7    Data as a Service Framework: A Paradigm Shift 12    2. DaaS Strategy and Reference Architecture 25    Topics Covered in this Chapter 25    Enterprise Data Strategy, Goals, and Principles 26    Critical Success Factors 28    Reference Architecture of the DaaS Framework 30    How to leverage the DaaS Reference Architecture 41    Summary 41    3. Data Asset Management 43    Topics Covered in this Chapter 43    Introduction to Major Categories of Enterprise Data 46    Transaction Data (Includes Big Data) 54    Significance of EIM in Supporting the DaaS Program 56    Role of Enterprise Data Architect 57    Summary 59    Part Two DaaS Architecture Framework and Components    4. Enterprise Data Services 63    Topics Covered in this Chapter 63    Emergence of Enterprise Data Services 64    Need for an Enterprise Perspective 65    Emergence of Enterprise Data Services 66    Publication of Enterprise Data 69    Interdependencies between DaaS, EIM, and SOA 73    Case Study: Amazon   s Adoption of Public Data Service Interfaces 76    Summary 79    5. Enterprise and Canonical Modeling 80    Topics Covered in this Chapter 80    A Model-Driven Approach Toward Developing Reusable Data Services 81    Defining a Standards-Driven Approach toward Developing New Data Services 82    Role of the Enterprise Data Model 83    Developing the Canonical Model 84    Enterprise Data Model 85    Canonical Model 85    Implementing the Canonical Model 89    Publishing Data Services with the Canonical Model as a Foundation 93    Implementing the Canonical Model in Real-life Projects 95    Data Services Roll Out and Future Releases 97    Case Study: DaaS in Real Life, Electronic-Data Interchange in U.S. Healthcare Exchanges 98    Summary 102    6. Business Glossary for DaaS 103    Topics Covered in this Chapter 103    Problem of Meaning and the Case for a Shared Business Glossary 104    Using Metadata in Various Disciplines 106    Role of an Organization   s Business Glossary 108    Enterprise Metadata Repository 113    Implementing the Enterprise Metadata Repository 115    Metadata Standards for Enterprise Data Services 116    Metadata Governance 121    Summary 121    7. SOA and Data Integration 123    Topics Covered in this Chapter 123    SOA as an Enabler of Data Integration 124    Role of Enterprise Service Bus 127    What is a Data Service? 128    Foundational Components of a Data Service 131    Service Interface 133    Major Service Categories 133    Overview of Data Virtualization 136    Consolidated Data Infrastructure Platform 143    Summary 145    8. Data Quality and Standards 146    Topics Covered in this Chapter 146    Where to Begin Data Standardization Efforts in Your Organization 150    Role of Data Discovery/Profiling to Identify DaaS Quality Issues 152    Data Quality and the Investment Paradox 156    Quality of a Data Service 157    Setting Up Standards in a DaaS Environment 158    Summary 163    Part Three DaaS Solution Blueprints    9. Reference Data Services 167    Topics Covered in this Chapter 167    Delivering Market and Reference Data Using Real-Time Data Services 169    Comparing Usage of Reference Data Against Master Data 171    Understanding Challenges of Reference Data Management 173    Other Reference Data Management Challenges 174    Role of Reference Data Standards and Vocabulary Management 177    Collaborative Reference Data Management Implementation Using Business Process Management/Workflow 180    Summary 185    10. Master Data Services 187    Topics Covered in this Chapter 187    Introduction to Master Data Services 188    Pros and Cons of Master Data Services (Virtual Master Data Management) 192    Leveraging the Golden Source to Resolve Deep-Rooted Source Differences 193    Future Trends in Master Data Management Using DaaS 194    Comparing Master Data Services Approach (Virtual) with Master Data Management Approach Involving Physical Consolidation 196    Case Study: Master Data Services for a Premier Investment Bank 197    Detailed Scope and Benefits 198    Proposed Solution Architecture for Master Data Services 199    Enterprise and Canonical Model for Master Data Management Implementation 202    Summary 208    11. Big Data and Analytical Services 210    Topics Covered in this Chapter 210    Big Data 212    Big Data Analytics 213    Relationship Between DaaS and Big Data Analytics 217    Future Impact of DaaS on Big Data Analytics 220    Extending DaaS Reference Architecture for Big Data and Cloud Services 221    Fostering an Enterprise Data Mindset 228    Case Study: Big DaaS in the Automotive Industry 231    Summary 233    Part Four Ensuring Organizational Success    12. DaaS Governance Framework 237    Topics Covered in this Chapter 237    Role of Data Governance 238    Data Governance 240    People Governance 245    Process Governance 248    Service Governance 253    Technology Governance 258    Summary 261    13. Securing the DaaS Environment 262    Topics Covered in this Chapter 262    Impact of Data Breach on DaaS Operations 263    Major Security Considerations for DaaS 264    Multilayered Security for the DaaS Environment 266    Identity and Access Management 270    Data Entitlements to Safeguard Privacy 271    Impact of Increased Privacy Regulations on Data Providers 272    Information Risk Management 273    Important Data Security and Privacy Regulations that Impact DaaS 275    Checklist to Protect Data Providers from Data Breaches 277    Summary 278    14. Taking DaaS from Concept to Reality 280    Topics Covered in this Chapter 280    Service Performance Measurement Using the Balanced Scorecard 284    Implementing the Performance Scorecard to Improve Data Services 286    Embarking on the DaaS Journey with a Vision 287    Using AGILE Principles for New Data Services Development 290    Sustaining DaaS in an Organization: How to Keep the Program Going 292    In Conclusion 295    Appendix A Data Standards Initiatives and Resources 297    Appendix B Data Privacy & Security Regulations 305    Appendix C Terms and Acronyms 309    Appendix D Bibliography 312    Index 315