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Semi-structured data is data that does not have a formal structure, but contains certain elements or tags that make it easier to organize and analyze. Unlike structured data, semi-structured data does not have a predefined schema definition, but is still capable of having some order in it.
Semi-structured data can be in a variety of formats, including XML, JSON, and YAML. These formats allow data to be stored in a structured manner without the need for a rigid specification of the data structure. In this way, data can be more flexible and adaptable, which is particularly useful in Big Data applications.
A typical example of semi-structured data is HTML documents. Although HTML does not have a strict structure, it still contains tags that make it easier to interpret and display the content. Another example is log files, which do not have a fixed structure, but still contain keywords or other elements that help to analyze and understand the information.