Now, let's see the files and their parameters in Hadoop, using which optimization can be performed. Mentioned next are examples of Hadoop/HBase cluster types. When we configure a Hadoop/HBase cluster, we can have the following types of clusters, according to their usability:
Standalone: This cluster type is suitable for development work where one machine can host all the daemon processes or we have a single machine with many virtual machines on a single system. This type of cluster is good for evaluation and testing purposes.
Small: We can have less than or equal to 20 nodes with different processes running of different machines. It is good for small productions with less data and processing requirements.
Medium: This cluster type can have 20 to 1000 nodes with HA, three to five ZooKeepers, and DataNodes, which is better for full-fledged production clusters.
Large: This cluster type can have 1000 or more nodes with huge storage capacity and several...