What do you do if your data architecture's security and privacy aspects need evaluation?
When it comes to evaluating the security and privacy aspects of your data architecture, it's crucial to approach the task methodically. Data architecture refers to the models, policies, rules, and standards that govern which data is collected, and how it's stored, arranged, integrated, and put to use in data systems and in organizations. The need for evaluation might stem from new regulatory requirements, a breach, or simply an initiative to improve your system's robustness. Whatever the reason, understanding how to critically assess and enhance your data architecture's security and privacy is essential.