Structured data is highly organized and easily searchable. It is stored in predefined formats such as rows and columns in databases or spreadsheets. Structured data is often numeric or text-based but conforms to a strict format. Examples would be SQL databases, Excel spreadsheets, etc.
Unstructured data lacks a predefined format, making it more challenging to collect, process, and analyse. This type of data includes text, images, videos, and other forms of content that do not fit neatly into tables.
Semi-structured data has elements of both structured and unstructured data. It does not conform to a rigid structure but contains tags or markers that organize the data hierarchically. XML and JSON files are common examples of semi-structured data.