An open-source data fabric platform: Features, architecture, applications, and key challenges in public healthcare systems

Abstract

In order to incorporate data to more valuable design, data fabric architecture could determine whether the data is being used or advocate the inclusion of new, enhance the existing model, and diversified data for generation of more accurate or relevant information and knowledge. As a result, managerial work has been reduced and data value is captured more rapidly for improving the quality in services. In an environment of information communication technology, the data management and integration have been becoming more diverse, remote, big, or high-volume datasets and complicated, information processing, and management adaptability have developed as a mission- critical concern for enterprise entities. Information and analytics professionals have to move beyond conventional data management approaches and progress toward contemporary alternatives including machine intelligence enabled data integration in order to decrease human errors and overall costs with higher level of accuracy. In this chapter, the detailed analysis of the data fabrication platforms in light of healthcare problems and how the adoption of the data fabrications platforms is important for healthcare are ethereal for improving the quality of healthcare services. This chapter also describes the use cases, how effectively the data fabrication is beneficial for entire ecofriendly system, Healthcare 4.0 and Society 4.0.