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In the previous blog , we explored data security fundamentals as a key aspect of enterprise architecture within Salesforce. We covered encryption at both rest and in transit, highlighting how sensitive data can be protected across storage and communication layers. We also discussed data obfuscation techniques such as pseudonymization, anonymization, and tokenization, and how they help safeguard sensitive information while still enabling business processes. In addition, we
In the previous blog , we explored how Salesforce relationship types enable normalized data modelling and help structure data efficiently across objects. Building on the previous discussion of normalization, we examined how different relationship types— Lookup, Master-Detail, One-to-One (via design patterns), Many-to-Many (junction objects), Hierarchical, and External relationships —support the separation of data into distinct entities while maintaining logical connections b
In the previous blog , we explored normalization and denormalization as key concepts in logical data modelling and their impact on Salesforce data architecture. We reviewed the three primary normal forms (1NF, 2NF, and 3NF) and how they help reduce redundancy, enforce clear relationships, and maintain data integrity. Using examples such as Account and Address structures , we demonstrated how normalized designs separate related data into dedicated entities connected through
