👉 Schema engineering is a critical process in data management and knowledge representation that involves designing and constructing structured frameworks, known as schemas, to organize and structure data in a way that facilitates efficient storage, retrieval, and manipulation. It focuses on defining the relationships between different data entities, ensuring consistency, and enabling effective querying and analysis. By creating a well-defined schema, organizations can improve data integrity, enhance interoperability between systems, and support advanced analytics and machine learning applications. This structured approach is essential for managing complex datasets, particularly in domains like enterprise resource planning (ERP), customer relationship management (CRM), and the Internet of Things (IoT).
