What is the method used for Hadoop cluster?

The common method used in Hadoop clusters is to store and manage large-scale data through the Hadoop Distributed File System (HDFS) and process the data using the MapReduce programming model. Users can monitor and manage cluster nodes through management tools such as Ambari or Cloudera Manager, and perform data processing and analysis using Hadoop’s API or related tools like Hive, Pig, Spark, etc. Additionally, users can view the cluster’s status and log information through Hadoop’s web interface.