Definition
Semi-structured data is information that doesn't conform to a rigid, predefined format like traditional databases but still contains tags or markers to separate semantic elements and enforce hierarchies. It falls between unstructured data, which has no inherent organization, and structured data, which fits neatly into tables. In practice, semi-structured data uses formats like JSON or XML to organize data with a clear, albeit flexible, structure. This organization is crucial for efficient data processing, analysis, and retrieval in modern applications. For example, a log file might contain timestamps, severity levels, and messages, all tagged for easier parsing. Unlike structured data, semi-structured data allows for variations in fields and data types without breaking the overall system. This concept is frequently encountered in domains related to data management and application development, appearing in exams like AWS Certified Solutions Architect Associate.