How does structured data differ from unstructured data?

Structured data is characterized by its organized format, which typically involves predefined fields and a consistent, easily searchable framework. This organization allows for quick retrieval and analysis via conventional database management tools. Examples of structured data include information stored in relational databases, such as spreadsheets and SQL databases, where specific data types (like dates, names, and numerical values) are clearly defined.

In contrast to structured data, unstructured data lacks this predefined format, making it more challenging to store, retrieve, and analyze. It can include a wide variety of information types, such as text files, images, audio, video, and social media content, which do not adhere to a consistent structure. This difference in organization is fundamental to the distinction between the two types of data in terms of ease of use and searchability.

Therefore, the definition of structured data as organized and easily searchable is accurate, highlighting its strength in data management and analysis.