Categories of data based on their organization include which of the following?

Categories of data based on their organization include which of the following?

• A. Online vs. offline
• B. Cloud vs. local
• C. Structured vs. semistructured vs. non-structured
• D. Data persistence

Answer: (C)

Data organization describes how data is structured and modeled, which drives how we store, search, and process it. Structured data has a fixed schema with rows and columns, making it straightforward to query with traditional relational databases. Semistructured data has some organization, such as tags or markers, and formats like JSON or XML that allow flexible schemas while still enabling parsing. Non-structured data, also called unstructured data, lacks a predefined model and includes free-form text, images, audio, and video, needing different techniques to extract meaning. This categorization matters because different storage and processing tools are suited to each type: relational systems for structured data, flexible/no-schema approaches for semistructured data, and content-centric or file-based methods for unstructured data. The other options describe where data lives or how durable it is rather than how it is organized, so they don’t address the organization aspect.

Data organization describes how data is structured and modeled, which drives how we store, search, and process it. Structured data has a fixed schema with rows and columns, making it straightforward to query with traditional relational databases. Semistructured data has some organization, such as tags or markers, and formats like JSON or XML that allow flexible schemas while still enabling parsing. Non-structured data, also called unstructured data, lacks a predefined model and includes free-form text, images, audio, and video, needing different techniques to extract meaning. This categorization matters because different storage and processing tools are suited to each type: relational systems for structured data, flexible/no-schema approaches for semistructured data, and content-centric or file-based methods for unstructured data. The other options describe where data lives or how durable it is rather than how it is organized, so they don’t address the organization aspect.