In a distributed computing environment, what is the purpose of "data partitioning" or "sharding"?
A. To introduce data redundancy
B. To improve data visualization
C. To increase data variety
D. To distribute data across multiple nodes
Answer: Option D
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
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