Question

What distinguishes Grid computing from MapReduce in terms of data processing?

a.

Grid computing focuses on data-intensive jobs.

b.

Grid computing emphasizes computation near the data.

c.

Grid computing provides a simple interface for programmers.

d.

Grid computing distributes data across multiple computers.

Posted under Big Data Computing

Answer: (b).Grid computing emphasizes computation near the data. Explanation:Grid computing emphasizes computation near the data, while MapReduce focuses on parallel computation and is less concerned with data location.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. What distinguishes Grid computing from MapReduce in terms of data processing?

Add Comment

Similar Questions

Discover Related MCQs

Q. Why is MapReduce not perfectly suited for all graph problems?

View solution

Q. How can MapReduce be used to work around the limitations in processing large graphs?

View solution

Q. What is PageRank, and how is it typically implemented in a MapReduce application?

View solution

Q. Which company originally designed and implemented the Google MapReduce framework?

View solution

Q. How did Google's MapReduce implementation evolve in terms of job numbers, job completion times, and output data size?

View solution

Q. Which company originally developed Hadoop?

View solution

Q. What is the primary programming language used for writing MapReduce programs in Hadoop?

View solution

Q. What is one advantage of Skynet's architecture compared to other MapReduce implementations?

View solution

Q. What is Dryad's approach to executing data parallel applications?

View solution

Q. What programming language is the current implementation of Dryad written in?

View solution

Q. Which subproject of Hadoop provides the common utilities and interfaces supporting other Hadoop subprojects?

View solution

Q. What does HBase provide, and what is it built on top of?

View solution

Q. Which of the following companies was one of the early adopters of Hadoop, using it to generate their search index?

View solution

Q. What is the primary language used for writing MapReduce programs in Disco?

View solution

Q. How does Skynet handle worker node failures in its MapReduce implementation?

View solution

Q. What is the key advantage of Hadoop's distributed file system, HDFS?

View solution

Q. What is the primary purpose of the HBase database?

View solution

Q. What is the role of the master node in a Hadoop MapReduce cluster?

View solution

Q. In a MapReduce job, what is the unit of work that users submit to the jobtracker?

View solution

Q. How does the jobtracker divide input data in a Hadoop MapReduce cluster?

View solution

View All MCQs on Big Data Computing

Suggested Topics

Are you eager to expand your knowledge beyond Big Data Computing? We've curated a selection of related categories that you might find intriguing.

Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!

MATLAB

Hone your computational mathematics skills with our MATLAB MCQs. Understand...

Computer Architecture

Unveil the science behind computer design with our Computer Architecture MCQs. Topics...

Cryptography and Network Security

Secure your knowledge of information security with our Cryptography and Network...

IT Fundamentals

Navigate the basics of information technology with our IT Fundamentals MCQs. Get a...

Cloud Computing

Stay on top of the biggest trend in IT with our Cloud Computing MCQs. These questions...

Visual Basic

Enhance your knowledge of Microsoft's event-driven programming language with our...

MS Office

Master the suite of productivity tools with our MS Office MCQs. From Word and Excel...

Big Data Computing

Enhance your understanding of Big Data Computing with our comprehensive MCQs. Explore...

Data Warehousing and OLAP

Strengthen your knowledge of Data Warehousing and OLAP with our specialized MCQs....