HDFS, or Hadoop Distributed File System, is designed to store and process large volumes of data across commodity hardware nodes, using a master-slave architecture with name nodes tracking data block locations and data nodes handling block operations. Files are divided into blocks that are replicated for fault tolerance, and racks of data nodes improve data locality and reduce network traffic. Key commands include 'get' for downloading files and 'put' for inserting files into HDFS.

2. HDFS is known as Hadoop Distributed File System it
is designed to store and process large volumes of
Data across multiple commodity hardware nodes.
Storing Large Files
Streaming Data
Cheap Commodity Hardware

3. Architecture of HDFS:

4. HDFS as Library

5. Here Name Nodes also we
can call as a Master Nodes.
And its keeps track of the
data block locations and
coordinates data access
operations.
Here the Data Nodes are also called
as a Slave Nodes its responsibilities
for the Data Block Creation, Deletion
and Replication.

6. Each file divided into blocks,
and each block is replicated
across multiple Data Nodes
for fault tolerance.
And Racks is collection of Data
Nodes. And its helps in improving data
locality and reduce network traffic.

7. COMMANDS:-
GET – when we want to downloads the files from
HDFS.
PUT – when we want to insert the files into the
HDFS