Seeding data in your environments

Seeding development and testing environments with large volumes of high-fidelity, realistic data is indispensable for emulating the behavior of live production systems on Salesforce’s inherently data-centric platform. Thoroughly seeding sandboxes with representative data enables comprehensive validation under real-world conditions. However, accomplishing this efficiently at scale requires thoughtful implementation of robust tools, automation, and data modeling best practices.

There are several approaches to providing your environments with data, and we’ll look at each of them in turn. We’ll start with the decision to either mirror your production data or generate dummy data, then look at options available for loading that data. By the end of this section, you should be in a strong position to get your environment data ready.

Working with production data

Seeding development environments with data is a crucial task to ensure...