Data as a Service: A Framework for Providing Reusable Enterprise Data Services

Data as a Service shows how organizations can leverage “data as a service” by providing real-life case studies on the various and innovative architectures and related patterns

• Comprehensive approach to introducing data as a service in any organization
• A reusable and flexible SOA based architecture framework
• Roadmap to introduce ‘big data as a service’ for potential clients
• Presents a thorough description of each component in the DaaS reference architecture so readers can implement solutions

Table of Contents

Part One: Overview of Fundamental Concepts
Chapter 1: Introduction to DaaS
Chapter 2: DaaS Strategy and Reference Architecture
Chapter 3: Data Asset Management

Part Two: DaaS Architecture Framework and Components
Chapter 4: Enterprise Data Services
Chapter 5: Enterprise and Canonical Modeling
Chapter 6: Business Glossary for DaaS
Chapter 7: SOA and Data Integration
Chapter 8: Data Quality and Standards

Part Three: DaaS Solution Blueprints
Chapter 9: Reference Data Services
Chapter 10: Master Data Services
Chapter 11: Big Data and Analytical Services

Part Four: Ensuring Organizational Success
Chapter 12: DaaS Governance Framework
Chapter 13: Securing the DaaS Environment
Chapter 14: Taking DaaS from Concept to Reality

Appendix A: Data Standards Initiatives and Resources
Appendix B: Data Privacy & Security Regulations
Appendix C: Terms and Acronyms
Appendix D: Bibliography