Depending on your training and your past roles prior to interviewing at Eagle Creek Software Services, you may be familiar with one or two of the many trains of though regarding the steps of a data validation. Whatever formal process you are familiar with, be sure to check the boxes of discussing data screening and data verification as part of your process. Your interviewer will be looking to hear that you check those boxes as they are imperative in the software field.
"As I embark on a data validation process in my current role, my first step is to roadmap a detailed plan to keep on task. I utilize benchmarks and the expectations of key stakeholders as my guide. Once underway, I validate the database and the data formatting to ensure that data is properly screened for its overall health. Then, by finishing with sampling, tests are performed to hopefully show that the data is useful within the system."
"The most important steps in a data validation process are determining the data to sample, scouring the existing database and validating the final data format. My first step is to use my best judgment to determine if I will validate a sample or the entire data set. This determination is based on overall size of the set and the timeframe that I have to work on the project. Then, I take the time to screen data in the existing database to calculate the number of unique ID's and records to come into the system. Last, I have to verify that the source data matches the schema within the targe"