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.

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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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This post introduces several tools to help you recover and repair XML files online or on Windows.

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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!