A practical architect’s guide to the Salesforce Life Sciences Cloud data model, covering relationships, data ownership, integration, security, scalability, history, and custom extensions.
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Life Sciences Cloud is not Sales Cloud with a pharma logo. It changes what your data model owns, how your…
Every Salesforce org starts with a simple sharing model. A few roles, a couple of sharing rules, maybe a public…
Learn the top 10 Salesforce LDV anti-patterns that hurt performance, scalability, and reliability—and how architects can design for large data volumes.
Learn how Lookup Relationship Anti-Patterns add technical debt, reporting issues, integration complexity, and performance problems in Salesforce implementations
Learn why poor Salesforce data architecture causes scalability, reporting, integration, and other issues, and how to address the Data Architecture Anti-Patterns
Stop hardcoding new ClassName() in Apex. Learn how Dependency Inversion Principle (DIP) uses interfaces to make your Salesforce code flexible and easy to test.
Learn how to apply the Interface Segregation Principle (ISP) in Salesforce Apex to eliminate bloated interfaces, reduce technical debt, and build clean code.
Learn the Liskov Substitution Principle in Apex and build reliable interfaces, safe dependency injection, trustworthy mocks, and maintainable Salesforce code.
Master the Open/Closed Principle in Salesforce Apex. Learn to extend code without modifying it using interfaces and virtual classes for scalable, bug-free apps.
