Question

What distinguishes the scalability problems of data scientists from those of common users when dealing with Big Semantic Data?

a.

Data scientists use distributed machines, while common users do not.

b.

Data scientists have faster internet connections than common users.

c.

Data scientists can perform graph closures, while common users expect reasonable response times.

d.

Data scientists rely on external data sources, while common users create their own data.

Posted under Big Data Computing

Answer: (c).Data scientists can perform graph closures, while common users expect reasonable response times. Explanation:Data scientists can perform complex and time-consuming tasks like graph closures, while common users expect reasonable response times when querying Big Semantic Data.

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Q. What distinguishes the scalability problems of data scientists from those of common users when dealing with Big Semantic Data?

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