Hadoop makes it easier to use all of the storage and processing capacity in cluster servers, as well as to run distributed processes on massive amounts of data. Hadoop provides the foundation upon which other services and applications can be built.
Applications that collect data in various formats can place data into the Hadoop cluster by connecting to the NameNode via an API operation. The NameNode keeps track of the file directory structure and placement of "chunks" for each file, which is replicated across DataNodes. To query the data, provide a MapReduce job composed of many map and reduce tasks that run against the data in HDFS distributed across the Hadoop and Big Data Analytics. Map tasks are run on each node against the supplied input files, and reducers are run.
Read More @ https://expressmyblog.blogspot.com/2023/03/hadoop-and-big-data-analytics-are.html
