Understanding Structured Data

2025年04月03日

Structured data refers to information that is organized in a predictable way, often following a predefined format. It makes data processing and analysis easier and more efficient.

Common examples of structured data include databases, spreadsheets, and JSON documents. This type of data allows for better data retrieval and analysis.

For businesses, utilizing structured data can enhance data-driven decision-making and improve customer experiences.

The most popular formats for structured data include SQL databases and over the web, formats like JSON-LD and Microdata. These formats help search engines understand the context of the data.

Implementing structured data on websites can provide rich snippets in search results, improving visibility and click-through rates.

In conclusion, understanding and implementing structured data is essential for businesses looking to enhance their data utilization and improve online presence.