What is the difference between structured and semi-structured data?

What is the difference between structured and semi-structured data?

Structured data is highly organized and easily searchable, like data in a relational database. Semi-structured data, on the other hand, doesn't fit neatly into tables but still has some organizational properties, like JSON or XML.

Can you give me examples of each type?

Sure! An example of structured data is a customer database with fields like name, address, and phone number. An example of semi-structured data is an email, which has a sender, recipient, and body but doesn't conform to a strict format.

Why is semi-structured data important?

Semi-structured data is important because it allows for flexibility in data representation, making it easier to store and analyze diverse data types without rigid schemas.

How is semi-structured data processed?

Semi-structured data is often processed using data parsing techniques and tools like NoSQL databases, which can handle varying data formats.