Structured data is information organized in a defined format such as tables, rows, columns, or schemas. It follows a predictable structure, making it easy to query, index, and analyze using languages like SQL. Structured data powers financial systems, relational databases, analytics platforms, and reporting pipelines.
Why it matters
Structured data enables consistent validation, efficient storage, and powerful querying. It underpins data modeling, database design, and analytics workflows.
Examples
A users table in a relational database or CSV files with defined columns. Lessons like Data Modeling Patterns build on structured data concepts.