What is the primary advantage of using distributed data processing frameworks like Hadoop and Spark for big data analytics?
A. Increased data variety
B. Scalability and parallel processing capabilities
C. Reduced data storage and transmission costs
D. Real-time data collection and analysis
Answer: Option B
This Question Belongs to Data Science >> 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
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
Join The Discussion