Structured data refers to information that is organized in a highly defined manner, making it easily searchable and analyzable by computers. This type of data is typically stored in tabular formats such as databases or spreadsheets, where each piece of data is contained within a specific field. Structured data is characterized by its adherence to a predefined schema, which dictates the types of data that can be stored, the relationships between different data fields, and the constraints on the data. Common examples include relational databases like SQL, where data is organized into tables with rows and columns, and each column has a specific data type, such as integer, string, or date. The structured nature of this data allows for efficient querying, sorting, and filtering using structured query languages. Additionally, structured data is often used in data modeling and analytics, as its predictable format facilitates the application of algorithms and statistical methods. In the context of the web, structured data can also refer to standardized formats like JSON-LD, RDFa, or Microdata, which are used to annotate web pages, enabling search engines to better understand and display content in search results.
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