What is HDFS?
HDFS stands for Hadoop Distributed File System. It's designed to store large data sets across multiple machines.
How does HDFS handle data redundancy?
HDFS replicates data across different nodes to ensure reliability and fault tolerance. Typically, each file is stored in three copies.
What are the main components of HDFS?
The main components are the NameNode, which manages metadata, and DataNodes, which store the actual data.
Can HDFS be used for real-time data processing?
HDFS is optimized for batch processing rather than real-time data processing, but it can be integrated with other tools for that purpose.
What are some use cases for HDFS?
HDFS is commonly used for big data analytics, data warehousing, and storing large datasets for machine learning.
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