Which is the BEST example of importing data to populate a database?

Importing data to populate a database is most effectively achieved by utilizing existing digital data records. This method allows for a streamlined and efficient process, as data can be directly loaded into the database without the need for manual entry or transformation efforts.

When data records are already stored in a digital format, such as CSV files, Excel spreadsheets, or other structured data types, they can be easily imported into a database system through various data import tools or functionalities. This approach minimizes the potential for human error that could occur during manual entry and greatly speeds up the process of data population.

In contrast, manually entering data records, while a valid method, is labor-intensive and prone to mistakes. Collecting data through surveys typically requires the data to be processed before it can be entered into the database, making it less efficient than directly importing existing digital records. Transforming paper records into digital formats involves additional steps that delay the database population process, as it requires both scanning or data entry and subsequent imports.

Thus, utilizing pre-existing digital data for import is the most effective and efficient method for populating a database.