In this recipe, we will estimate the costing for the Hadoop cluster and see what factors to a take into account. The exact figures can vary according to the hardware and software choices.
The Hadoop cluster is a combination of servers, network components, power consumption, man hours to maintain it, software license costs, and cooling costs.
In this recipe, there is nothing to execute or do by logging into the cluster, but it is more of an estimation which will be governed by the following mentioned factors.
Each server in the Hadoop cluster will at least fall into three categories: Master nodes, Datanodes, and Edge nodes.
Costing master nodes: Intensive on memory and CPU, but need less of disk space.
Two OS disks in Raid 1 configuration
Two disks for logs and two disks for Namenode metadata
At least two network cards bounded together with minimum 1 Gbps
RAM 128 GB, higher if the HBase master is co-located on a Namenode
CPU cores per master...