Converting incomplete date strings
Sometimes, you will encounter datasets with dates stored as strings and lacking critical details such as the century and time zone. As with the prior example, this poses challenges for database users. The next example will demonstrate how to amend these dates and add the missing information.
Scenario
An application is ingesting payment documents into a MongoDB collection where each document's payment date field contains a string looking vaguely like a date-time, such as "01-JAN-20 01.01.01.123000000". When aggregating the payments, you want to convert each payment date into a valid BSON (BSON is a binary encoding for JSON data types, making it easier and more performant for MongoDB to process and enabling support for more data types than the JSON standard) date type. However, the payment date fields contain only some of the information required to determine the exact date-time accurately. Therefore, you cannot use the date operator...
