What is the principle of data locality in Hadoop?

The principle of data locality in Hadoop aims to store and process data on the same machine whenever possible, reducing the need for data transfer and replication between nodes to enhance computational efficiency and performance. This principle is based on the design concept of distributed computing, where data is stored across various nodes and computation tasks are sent to nodes containing the required data for execution, minimizing data transmission costs in the network and improving job execution efficiency.