Description: A Hadoop data node is a fundamental component within a Hadoop cluster, specifically designed to store and manage large volumes of data. Each node in this system is responsible for storing data blocks, which are fragments of large files, and communicates with other nodes to ensure the availability and redundancy of information. Data nodes work in conjunction with the master node, known as NameNode, which manages the file system structure and the location of data blocks. This distributed architecture allows Hadoop to handle data efficiently, facilitating parallel processing and scalability. Data nodes can operate on standard hardware, reducing implementation and maintenance costs. Additionally, they are designed to be fault-tolerant, meaning that if a node fails, data can be recovered from other nodes that contain copies of the same blocks. This feature is crucial for applications that require high availability and reliability in data handling. In summary, Hadoop data nodes are essential for Big Data infrastructure, enabling organizations to store, process, and analyze large amounts of information efficiently and effectively.
