What type of data is organized into a defined format with a schema, such as databases and spreadsheets?

Structured data refers to information that is organized into a defined format with a clear schema, often found in relational databases and spreadsheets. This type of data is characterized by its adherence to a strict model that allows for easy access, storage, and retrieval. Each piece of structured data is typically identified by standardized formats such as rows and columns, making it straightforward to analyze using various data management tools and query languages like SQL.

In contrast, semi-structured data possesses a loose structure but doesn’t conform to a strict schema, often incorporating tags or markers to separate data elements. Unstructured data lacks any predefined format and is often text-heavy or multimedia, such as emails, images, or social media posts, making it challenging to analyze directly. Raw data, on the other hand, refers to unprocessed data collected from various sources before any analysis or formatting.

Given this understanding, the identification and manipulation of structured data is crucial, as it forms the backbone of data analysis in many business applications and systems, facilitating efficient data storage and retrieval.