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What are the main types of data typically categorized in data management?

  1. Structured, Semi-structured, Unstructured

  2. Text, Audio, Video

  3. Raw, Processed, Readable

  4. Static, Dynamic, Historical

The correct answer is: Structured, Semi-structured, Unstructured

The primary types of data in data management are typically categorized into structured, semi-structured, and unstructured. Structured data is highly organized and easily searchable, often stored in relational databases with a fixed schema, such as tables of numerical data. This makes it straightforward to enter, query, and analyze. Semi-structured data does not have a strict format but still contains some organizational properties. Examples include JSON files and XML data, which include tags or markers to separate values but do not fit perfectly into a table. Unstructured data represents information that lacks a predefined format or organization, making it more complex to store and analyze. Examples include text documents, images, and videos. As the volume of unstructured data continues to grow, effectively managing it is critical for organizations looking to leverage insights from diverse data sources. The other options, while they describe various aspects of data, do not encompass the foundational categories recognized in data management. Text, audio, and video focus on specific types of content rather than their structural characteristics. Raw, processed, and readable data describe stages or conditions of data rather than types. Static, dynamic, and historical data refer to the state and context of data but do not categorize data based on its structure and usability in a systematic way