Data Paradigms

Data paradigms are different approaches or ways of thinking about how we collect, organize, and interpret data. They shape the tools, methods, and assumptions used in data analysis. For example, some paradigms focus on structured data stored in databases, while others emphasize unstructured data like images or social media posts. Changes in data paradigms reflect evolving technology and needs, such as moving from traditional data warehouses to big data platforms and real-time analytics. Understanding these paradigms helps organizations select appropriate methods for extracting meaningful insights from various types of data.