Do you know what structured data, semi-structured data, and unstructured data are?
Knowing those data types assists you in managing data better.
If you dont know, thisMiniToolpost could give you some information.
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There are generally three types of collectible data: structured, semi-structured, and unstructured.
Lets go on to have a deep look at the data stored in those three types.
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What Is Structured Data
Structured data refers to data organized in a predefined format.
That data has a fixed schema and fits neatly into data tables.
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Thus, structured data is easy to address for processing and analysis.
Without ranging data into a data table, the data is stored in its native format.
Hence, the data is only defined when it is needed.
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What Is Semi-Structured Data
Semi-structured data is data that has two features of the former two types.

It doesnt have a predefined format but has some properties that assist in analyzing and processing.
For instance, photos shot by your smartphone are semi-structured data.
Other examples of semi-structured data include CSV files, XML files, etc.
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Here we have listed several key differences between them.
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Final Words
This post gives simple definitions of structured data, semi-structured data, and unstructured data.
Additionally, it shows you some distinctive differences between structured and unstructured data.
Hope this post is useful to you!