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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

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南京理工大学数据挖掘课件，主要内容是有关数据挖掘和数据仓库方面的。