Semi-structured data is the type of data is semi-structured and has some organizational properties but not a rigid schema.
In essence, semi-structured data is a synthesis of the two. For instance, meta tags for locations, dates, and photographers may be included in photos and films, but the information they provide lacks organization.
Data that is neither captured or formatted in a typical manner is referred to as semi-structured data. Because semi-structured data lacks a fixed schema, it does not adhere to the format of a tabular data model or relational databases.
There is no fixed schema limiting the semi-structured data. flexible, i.e., schema changes are simple. Data is transferable. You may think of semi-structured data as structured data.
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