What You Need To Know About Data Crunching?

November 23 2020, 07:18am

Posted by Claire Mackerras

Data crunching is a method that is used to cover the analysis of data and make useful decisions from the vast amount of data and information (big data) if possible. It also refers to the early phase of data processing in which fresh data sets or disorganized data sets are crushed to meet proper research and exploration. It includes planning, system modelling, or application that is being used. Data is everywhere, and it is sorted, processed, and maintained in a structured form before performing iterations or running algorithms. The data which is already processed and imported into one system known as the crushed data.

Why Need of Data Crunching Techniques:
You can consider data crunching for the following situations:

If you have a lot of data and there are too many complications, you can then break that data into the available list and represent in just a few lines.
If unit testing gives you aggression while producing the correct output, you can think of data crunching and perform the process in many cases.
When the enterprise-scale infrastructure doesn’t support well or when it is impossible to make the system compatible with hundreds of thousands of servers.
If the issue occurs due to the speed of the disk, your network, or database, on that point, you can consider the basic program rather than the trickiest codes.