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C. Use an ETL (Extract, Transform, Load) tool to orchestrate the migration.
Using an ETL tool provides several advantages in this scenario:
Flexibility for Data Transformation: ETL tools are designed to handle data transformations, which will be necessary when the data model for Org B is drastically changing with different objects, fields, and picklist values.
Scalability: ETL tools can efficiently handle large volumes of data like the three million records that need to be migrated.
Compliance and Data Validation: ETL tools often include features for data validation and cleansing, which can help ensure data integrity during the migration process, especially when compliance reasons are involved.
Scheduling and Automation: ETL tools allow you to schedule and automate data migration jobs, which can be crucial for meeting the tight timeline of two months.
C. Use an ETL (Extract, Transform, Load) tool to orchestrate the migration.
Using an ETL tool provides several advantages in this scenario:
Flexibility for Data Transformation: ETL tools are designed to handle data transformations, which will be necessary when the data model for Org B is drastically changing with different objects, fields, and picklist values.
Scalability: ETL tools can efficiently handle large volumes of data like the three million records that need to be migrated.
Compliance and Data Validation: ETL tools often include features for data validation and cleansing, which can help ensure data integrity during the migration process, especially when compliance reasons are involved.
Scheduling and Automation: ETL tools allow you to schedule and automate data migration jobs, which can be crucial for meeting the tight timeline of two months.
The most accurate answer is C. Use an ETL tool to orchestrate the migration.
Given the complexity of the migration (drastic changes in the data model, large volume of records, and tight timeline), an ETL (Extract, Transform, Load) tool would be the most suitable option. ETL tools are designed to handle complex data migrations, including changes in data models and large volumes of data. They also provide robust error handling and logging capabilities, which are crucial for a successful migration.
B. Write a script to use the Bulk API: Writing a script to use the Bulk API could be a viable option, but it would require significant development effort and may not be feasible given the two-month timeline. Additionally, this approach would require extensive testing to ensure the accuracy of the data migration.