What is structured data?

Structured data refers to data that is organized in a specific format, making it easily searchable and analyzable. This type of data is typically stored in databases or spreadsheets and is organized into rows and columns with a defined schema. Structured data is highly organized and can be easily processed by machines, making it valuable for data analysis and reporting. Examples of structured data include customer information, sales figures, and inventory data.

Structured data refers to data that is organized and presented in a consistent and predefined format, making it easier for computers and search engines to understand and utilize. It allows data to be organized and accessed systematically, facilitating efficient processing and retrieval. Structured data enables interoperability, as it follows specific rules and standards that allow different systems and applications to exchange and interpret data in a consistent manner. This facilitates data integration and analysis, enabling the extraction of meaningful insights and knowledge.