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

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Chapter 10 Master Data Services

Topics Covered in this Chapter

  • This chapter provides a detailed architectural pattern for designing and developing master data services (MDS) that can be reused across the enterprise by using common design components and standards.
  • It also evaluates a virtual approach to implement master data management (MDM) across organizations. The benefits of decoupling business and technology dependencies by adopting a virtual approach to MDM are also covered in detail.
  • Next, it looks at MDS as an effective alternative to existing styles of MDM implementation without physically consolidating master data in a single hub.
  • Finally, this chapter has several illustrative examples and a detailed case study on an MDS implementation at a large financial institution.

“There's a lot of power in generating data and executing data.”

—Ken Thompson

The use of service-oriented architecture (SOA) and data services can lend itself well to sharing master data across any enterprise. In fact, leveraging the DaaS framework can produce several benefits including achieving greater consistencies in master data and opportunities for effective reuse. In addition to this, the master data services (MDS) model proposed under the Data as a Service (DaaS) framework allows organizations to implement master data management (MDM) in a way that is independent of any specific implementation decision. This virtual, platform-independent approach to MDM has been termed by several industry ...

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