Part 2/8:
Historically, data architecture focused primarily on storing and managing data. However, as data volumes ballooned and business needs grew more complex, a paradigm shift occurred—moving from simple data repositories to sophisticated, domain-oriented structures. This evolution is driven by the need for faster, more precise, and value-oriented data delivery.
Recent advancements have led to a more structured approach, emphasizing not only speed but also the quality and relevance of data delivered to users. The transition reflects an increased understanding that data is a critical asset requiring strategic management.
Core Principles Guiding Modern Data Architecture
Several foundational principles underpin today's data architecture practices: