I am often asked what the best hardware configuration is for doing data mining. The only appropriate answer for this type of question is that it depends on what you are trying to do. There are a number of considerations to be weighed when deciding how to build an appropriate computing environment for your big data analytics.
Storage of data is usually the first thing that comes to mind when the topic of big data is mentioned. It is the storage of data that allows us to keep a record of history so that it can be used to tell us what will likely happen in the future.
A traditional hard drive is made up of platters which are actual disks coated in a magnetized film that allow the encoding of 1s and 0s that make up data. The spindles that turn the vertically stacked platters are a critical part of rating hard drives because the spindles determine how fast the platters can spin and thus how fast the data can be read and written. Each platter has a single drive head; they both move in unison so that only one drive head is reading from a particular platter.
This mechanical operation is very precise and also very slow compared to the other components of the computer. It can be a large contributor to the time required to solve high-performance data mining problems.
To combat the weakness of disk speeds, disk arrays1 became widely available, and they provide higher throughput. The maximum throughput of a disk array to a single system from external ...