In terms of data storage, what does low granularity imply?
Understand the Problem
The question is asking about the implications of low granularity in data storage, and it provides multiple-choice answers to choose from. Specifically, it is looking for an understanding of how low granularity affects aspects such as redundancy, detail level, processing speed, and data analysis.
Answer
Low granularity implies data is aggregated and less detailed.
Low granularity in data storage implies that data is summarized or aggregated into broader, coarser units with less detail.
Answer for screen readers
Low granularity in data storage implies that data is summarized or aggregated into broader, coarser units with less detail.
More Information
In data management, granularity is crucial for determining the level of detail required. High granularity is needed for detailed analysis, while low granularity is useful for providing a quick overview or summary.
Tips
A common mistake is confusing low granularity with detailed data. It's the opposite; low granularity means broader and more generalized data.
Sources
AI-generated content may contain errors. Please verify critical information
