Data Architectures’ Evolution and Protection

Nowadays, data architecture allows us to store, manage, analyze, and visualize a limitless quantity of data. It has gone through several stages to get to this point, overcoming various hurdles and challenges. This study highlights these stages of evolution, starting with traditional architecture and progressing to data-informed architecture, data-driven architecture, and finally, data-centric architecture. It also devises a conceptual framework to identify the requirements for transitioning from one stage to other benefits of each architecture. The study’s results include a discussion of security vulnerabilities based on confidentiality, integrity, and availability (CIA Triad) and recommendations for future research.