What Is Semi-Structured Data?
A type of data that lies between structured and unstructured data is semi-structured data. This type of data contains some level of organization, such as labels or tags, but does not have a rigid structure like traditional databases. Semi-structured data can come in various formats such as JSON, XML, and YAML, and is commonly used to store large amounts of text-based data.
Semi-structured data is becoming increasingly common with the rise of big data and the need for storing and analyzing large volumes of diverse information. It allows for flexibility in data storage and retrieval while still maintaining some level of organization.
Examples of semi-structured data include social media posts, sensor logs, web server logs, and product reviews.