What are the day-to-day functions a data migration system performs?
"A comprehensive data migration system performs a variety of functions. Initially, it will create subsystems that allow for the management of the system itself. It will then seek out external sources of data and began to import information into the data warehouse. During the import, the data is verified and scrubbed to make sure it is the appropriate information and that there are or no threats embedded within the data. The system then formats the data so that it can be used in a variety of different ways, including application development, data mining, and extraction for decision-making processes."
The interviewer is asking this operational question to understand your knowledge and experience in this field. Before the interview, you should have done a great deal of research on the company and its operations. This will allow you to structure your answers to their questions to demonstrate how your skills and experience can help them address their business challenges.
Forexample: "Data migration systems perform several different functions. This begins with building the development, test, and production suite of the data migration processes. It will then analyze and extract data from the sources identified by the operators. The system also verifies that the data is safe and complies with the standards of the organizations. Next, the data is formatted into dimensional schemas for the most effective delivery to end users, business intelligence tools, data-mining tools, OLAP cubes, and analytic applications. Finally, the system self-checks and can be tuned to optimize the performance of the overall data migration process."
"Data migration systems perform several different functions. This begins with building the development, test, and production suite of the data migration processes. It will then analyze and extract data from the sources identified by the operators. The system also verifies that the data is safe and complies with the standards of the organizations. Next, the data is formatted into dimensional schemas for the most effective delivery to end users, business intelligence tools, data-mining tools, OLAP cubes, and analytic applications. Finally, the system self-checks and can be tuned to optimize the performance of the overall data migration process."
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