Topics Covered in this Chapter
- This chapter explains the significance of formally creating an enterprise data strategy in an organization while formulating a long-term roadmap to deliver Data as a Service (DaaS).
- A reference architecture is presented for the DaaS framework, which provides details on the various components required for publishing data services. Having a high-level and functional understanding of the various reference architecture components and best practices is crucial for implementing a successful DaaS program.
- The chapter also presents a few core principles and architectural patterns of the DaaS framework. These principles need to be adopted by data provider organizations to enable data sharing and interoperability across systems at the enterprise-level.
Any enterprise CEO really ought to be able to ask a question that involves connecting data across the organization, be able to run a company effectively, and especially to be able to respond to unexpected events. Most organizations are missing this ability to connect all the data together.
—Tim Berners-Lee Co-inventor of the World Wide Web
While introducing the Data as a Service (DaaS) framework in the first chapter, the need for business organizations to deploy a DaaS framework to enable their businesses was explained. This often means providing decision makers with the means to conduct their analysis for business decision-making by leveraging enterprise ...