How do you enforce data integrity when importing a large CSV file into Salesforce containing records across multiple related objects, ensuring no duplicate records are created?

Enforcing data integrity and preventing duplicate records when importing a large CSV file into Salesforce that involves multiple related objects requires a comprehensive approach encompassing data preparation, careful configuration of the import process, and leveraging Salesforce’s built-in tools and functionalities. First and foremost, before even attempting the import, meticulous data preparation is critical. This means reviewing the CSV file to identify potential inconsistencies, errors, and duplicates. Standardizing data formats (like dates, phone numbers, and addresses) and cleaning inconsistencies will lead to cleaner and more accurate data within Salesforce. Next, determine how the related objects will be connected and make sure the CSV file is structured accordingly. For example, if you're importing accounts and contacts, you'd need an external ID on the account object that can be referenced by the contact import file to associate contacts with specific accounts. The use of external IDs as unique record identifiers is fundamental. Instead of relying on Salesforce IDs, which will not be available until the records are created, external IDs from the ori....