Question 12

Big data must be analyzed using powerful analytic tools.

Analyzing big data requires advanced analytic tools due to its vast size, complexity, and the need for real-time processing to extract useful insights.

A) Big data

This option is correct because big data, characterized by its volume, velocity, and variety, necessitates powerful analytic tools to manage and analyze the extensive amount of information effectively.

B) Small, independent data sets

This option is incorrect as small, independent data sets do not typically require the same level of analytic tools. They can often be analyzed using simpler methods and tools due to their manageable size.

C) Inferential statistics

This option is incorrect because inferential statistics is a branch of statistics used to make inferences about a population based on a sample. While it is a valuable tool in data analysis, it does not specifically refer to the need for powerful analytic tools for big data.

D) Data analysis results

This option is incorrect because data analysis results are the outcomes of the analysis process rather than the data itself that needs to be analyzed. The focus should be on the data being analyzed, such as big data, which requires powerful tools.

Conclusion

Big data is distinct in its need for sophisticated analytic tools due to its complexity and scale, making option A the only correct choice. All other options either misinterpret the requirements for analysis or refer to different concepts that do not align with the question's focus on powerful analytic tools.