Explain about Hadoop Architecture

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Hadoop Architecture is a distributed computing framework that allows for the processing of large data sets.

Hadoop consists of two main components: Hadoop Distributed File System (HDFS) and MapReduce.
HDFS is responsible for storing data across multiple nodes in a cluster.
MapReduce is responsible for processing the data stored in HDFS by dividing it into smaller chunks and processing them in parallel.
Hadoop also includes other components such as YARN, which manages resources in the cluster, and Hadoop Common, which provides libraries and utilities for other Hadoop components.
Hadoop is designed to be fault-tolerant, meaning that if a node fails, the data and processing can be automatically transferred to another node.
Hadoop can be run on commodity hardware, making it a cost-effective solution for processing large data sets.

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