adplus-dvertising
frame-decoration

Question

What was the new paradigm that emerged to help scientists deal with complex phenomena that couldn't be addressed by analytical models?

a.

Theoretical modeling

b.

Experimental observation

c.

Computational simulation

d.

Data visualization

Posted under Big Data Computing

Answer: (c).Computational simulation Explanation:Computational simulation became a new paradigm allowing scientists to address complex phenomena and generate large amounts of data.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. What was the new paradigm that emerged to help scientists deal with complex phenomena that couldn't be addressed by analytical models?

Similar Questions

Discover Related MCQs

Q. What are some examples of advanced exploration instruments that produced increasing amounts of data in science?

Q. What does eScience encompass in the scientific data workflow?

Q. Where else besides science does the data deluge phenomenon apply?

Q. What is referred to as the "new raw material of business" in the context of the data deluge?

Q. Besides business, what other entity is contributing significantly to the data deluge?

Q. What is data science primarily focused on?

Q. What is a key requirement for acquiring knowledge through data science?

Q. What is essential for the semiautomatic processing of data in the current data revolution?

Q. Why is a standardized data encoding crucial for computer understanding?

Q. What are gaining momentum as practical trends for data representation in the context of Big Semantic Data?

Q. What does the Resource Description Framework (RDF) serve as in the context of data encoding and semantic technologies?

Q. What are the potential improvements achieved by HDT in Big Semantic Data management?

Q. What are the three main dimensions of Big Data?

Q. Which dimension of Big Data is described as the challenge related to streaming data processing?

Q. What does the variety dimension of Big Data refer to?

Q. What is the main challenge of Big Data variety?

Q. How can data value be increased in Big Data processing?

Q. What is the primary goal of the Semantic Web?

Q. What distinguishes the approach of information retrieval techniques from database techniques in the context of the Semantic Web?

Q. Why is it crucial to automate the process of "understanding" data on the WWW for Big Data?