What is the purpose of slicing data into blocks in HDFS?

In HDFS (Hadoop Distributed File System), data is divided into fixed-size blocks (usually 128 MB or 256 MB) for efficient distributed storage and processing. This allows:

• Storing large files by breaking them into parts that are distributed across different nodes of the cluster.
• Processing blocks in parallel on different nodes, which speeds up computations.
• Ensuring fault tolerance through replication of blocks on multiple nodes.

Thus, block division is a key mechanism of HDFS's scalability and reliability.