Description: Hadoop configuration refers to the settings and parameters that define how this open-source framework designed for processing and storing large volumes of data operates. Hadoop is based on a distributed programming model and uses a distributed file system (HDFS) to store data across clusters of computers. The configuration of Hadoop includes defining key properties that affect its performance, scalability, and security. These properties can be adjusted in configuration files such as ‘core-site.xml’, ‘hdfs-site.xml’, and ‘mapred-site.xml’, where aspects like node locations, block sizes, memory allocation for processes, and data replication policies are specified. Proper configuration of Hadoop is crucial for optimizing resource usage and ensuring efficient data processing. Additionally, it allows administrators to customize the Hadoop environment according to the specific needs of various applications and workloads, resulting in a more robust system adaptable to different usage scenarios.
