What does "Semi-Structured Data" mean?

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Semi-structured data is a type of information that doesn't have a fixed format but still includes some organized elements. This means it has tags or markers that help to identify different parts of the information, making it easier to work with compared to completely unstructured data, like plain text.

Examples of semi-structured data include JSON files, XML documents, and even emails. These formats allow for a mix of free-form text and structured fields, which helps in managing and retrieving the information when needed.

In the context of modern technology, semi-structured data is important for various tasks, such as troubleshooting issues in cloud services. By using tools that can analyze this type of data, businesses can make better decisions and quickly respond to problems.

The challenge with semi-structured data is that it can be complex and harder to interpret than fully structured data, like spreadsheets or databases. However, advances in technology now help process this information more efficiently, allowing for better results when searching and analyzing data.