Understanding Hadoop Architecture

Imagine a company that collects a large amount of data every day, such as website logs, transactions, or user activity . After some time, the data becomes too large for a single computer to store and process. This is where Hadoop helps. Hadoop is a big data framework designed to store and process very large datasets across many machines . Instead of using one powerful computer, Hadoop uses multiple machines working together , which are called nodes . These machines together form a Hadoop cluster . Storage Layer — HDFS The storage system used by Hadoop is called HDFS (Hadoop Distributed File System) . When a large file is stored in Hadoop, it is automatically split into smaller pieces called blocks . These blocks are then distributed across multiple machines in the cluster. For example: Block 1 → Machine 1 Block 2 → Machine 2 Block 3 → Machine 3 This approach is called distributed storage , and it allows Hadoop to store very large datasets efficiently . Hadoop Nodes In a Hadoop cluster,