Which technology is often used to process and analyze large-scale data sets in Data Science?
A. Hadoop
B. SQL
C. Python
D. HTML
Answer: Option A
Solution (By Examveda Team)
Hadoop is a technology often used to process and analyze large-scale data sets in Data Science.Hadoop is an open-source framework that allows for the distributed processing of large data sets across clusters of computers.
It is designed to scale up from a single server to thousands of machines, each offering local computation and storage.
Key components of Hadoop include: HDFS (Hadoop Distributed File System) for storage and MapReduce for processing.
Hadoop's architecture is highly scalable and fault-tolerant, making it a popular choice for big data processing.
Other technologies such as SQL and Python are also used in Data Science, but Hadoop is specifically designed for handling and analyzing large-scale data.
This Question Belongs to Data Science >> Introduction To Data Science
What is hadoop and,how it works?