Summary
In this chapter, we discussed the importance of seeding development environments with accurate, realistic data to ensure robust testing and development within Salesforce.
We explored using sample data from production environments, as well as the alternative approach of data generation with the various tools available for generating and importing test data.
We covered the importance of data masking, to protect sensitive information to comply with global data protection regulations such as GDPR and HIPAA, and looked at best practices for managing data in non-production environments.
These techniques and strategies can be brought together as an approach to effective data management in your development and testing environments. You will then be well equipped to meet the security and compliance needs of your organization while having a working set of data to accelerate your development life cycle.
In the next chapter, we’ll start to examine the dedicated Salesforce...
