In which of the following situations would parallel systems MOST likely be used to help analyze data?

A. Data analysis involving two or more columns of data

B. Data analysis involving both string and numeric data

C. Data analysis involving large datasets

D. Data analysis that could result in two or more different types of visualizations

Big Data defines as more diverse information, with rising numbers and speed.
The data sets are larger and more complicated, in particular new data sources.
The datasets are so big because they can't manage using typical information processing software. However, a huge amount of data is used to deal with business issues that you had not before been able to handle.
Parallel analysis is a way to analyze data utilizing parallel processes that are running on numerous computers concurrently.
This procedure is often employed in large-scale data analysis and general data analysis.

The wrong choice description can be defined as follows:

In option A and Option B both are wrong because it doesn't include data columns and string and numeric value.
In Option D it is wrong because it not used in visualization.

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