Characteristics of Big Data Analysis 2

The big data analysis system should be powerful enough to be able to work with the data iteratively. This means the processes can keep looping until the desired result is created. The system must also be able to handle a lot of attributes because big data comes in large sizes with hundreds or even thousands of attribute types in a data source. Whereas before it may have been many records with the same attributes. Big data is often too complicated to make sense of right away in its raw form so the analysis system must be programmatic meaning it can process the data through programs. It is advised that the system should be able to connect to other computer systems via the cloud. This is because if several computers can cooperate to process the same big data set then it will reduce the processing time.