ExamVeda
Login
Home

Which distributed computing framework is commonly used for graph processing and...

This question belongs to Data Science Big Data And Distributed Computing
Big Data and Distributed Computing
?

Which distributed computing framework is commonly used for graph processing and can efficiently analyze large-scale graph data, such as social networks and recommendation systems?

Answer & Solution
Correct Answer: Option C
Let's discuss the solution. Join the discussion
Examveda
Question posted by Examveda
Community

Join the Discussion

No comments yet Be the first to discuss this question.
Keep Learning

Related Questions on Big Data and Distributed Computing

What is the primary characteristic of "big data"?
A. Small volume of data B. High velocity of data C. Variety of data sources D. Low complexity of data
In the context of big data, what does the "3Vs" represent?
A. Velocity, Value, Variability B. Volume, Variety, Velocity C. Volume, Value, Variety D. Velocity, Veracity, Variety
Which programming framework is commonly used for processing large-scale data in a distributed computing environment?
A. Java B. Python C. Hadoop D. SQL
What is the main purpose of the Hadoop Distributed File System (HDFS) in a Hadoop ecosystem?
A. Real-time data processing B. Data storage and retrieval C. Data visualization D. Data encryption
More Related Questions on Big Data and Distributed Computing