Discussion Overview
The discussion revolves around the concept of "structures of big data," particularly focusing on the aspect of variety within the 3 V's of big data. Participants explore the definitions and distinctions between data formats, sources, and structures, with some expressing confusion about the terminology used in their studies.
Discussion Character
- Conceptual clarification, Debate/contested
Main Points Raised
- One participant expresses confusion about what is meant by "structures of data" in the context of big data, seeking clarification on the term.
- Another participant provides a link to a Wikipedia article on data structures, suggesting that the term has a specific meaning in computer science.
- A different participant acknowledges the distinction between data structure and the structures of big data, noting that data can be categorized as structured, semi-structured, and unstructured.
- One participant reflects on the confusion caused by the use of similar terms in their class, indicating that the terminology may not align with standard definitions.
Areas of Agreement / Disagreement
Participants do not reach a consensus on the definitions and implications of "structures of big data," with some expressing confusion and others clarifying distinctions. Multiple viewpoints remain regarding the terminology and its application.
Contextual Notes
The discussion highlights potential limitations in understanding due to varying definitions of terms like "data structure" and "structures of big data," which may depend on specific academic contexts.