Essentially of Data WranglingGautam Goswami
To roll out a new software product commercially irrespective of any domain in the market, 360-degree quality check with test data is mandatory. We can correlate this with a visualized concept of a new vehicle. After completion of vehicle manufacturing, fuel has to be injected to the engine to make it operational. Once the vehicle starts moving, all the quality checks, testing get started like brake performance, mileage, comfort etc with thousands of other factors which are decided/concluded during design phase.
Similarly, we should have data to verify and evaluate all the expected functional behavior, consolidated during the design phase of the software product. Without data (considering here as a test data i.e. the data for test purpose only), we can’t perform any functional like performance behavior of the product. To assemble and consolidate test data, we have to adopt manual or automated process to convert or map data from one raw format to another format so that converted format of data can be flown across all the component in the developed product and eventually quality control/testing team can initiate their activities to certify the software product. This process of data conversion from one format to another is known as data wrangling. . Like how crude oil is refined to desired fuel which is mandatory to run or test a newly manufactured vehicle.