Which data type is characterized by a fixed schema and organization?

Structured data is characterized by a fixed schema and organization, making it easily searchable and analyzable. This type of data typically resides in relational databases or spreadsheets where data is organized into predefined tables with standardized fields and data types. The clear structure allows for efficient management, retrieval, and processing using SQL and similar querying languages.

In contrast, unstructured data lacks a predefined format or organization, which makes it more challenging to manage and analyze. Examples include text documents, images, and videos, where the data does not conform to a specific model.

Semistructured data contains elements of both structured and unstructured types. It may not have a fixed schema, but it still includes some organizational properties, like XML or JSON files, where data is marked and organized but does not fit neatly into tables.

Raw data refers to unprocessed data that has not undergone any transformation or structuring, making it difficult to analyze without further processing.

Overall, structured data’s fixed schema and organization allow for easier management, making it the correct answer to the question.