Modern Salesforce implementations span multiple clouds (Sales, Service, Marketing), ERP systems, data lakes, and SaaS tools. Without deliberate data architecture, teams face slow queries, duplicate records, brittle integrations, and audit risk. This course teaches you to design scalable Salesforce data models and connect them safely to the enterprise.
Salesforce Data Architecture & Integration
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
5 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Design scalable data models with objects, relationships, field security, sharing rules, and selective queries optimized for large data volumes.
Implement integration patterns (REST/SOAP, External Services, Platform Events, CDC, Bulk API) based on timing, volume, and ownership needs.
Establish data quality controls, monitoring dashboards, and runbooks using duplicate rules, validation, Event Monitoring, and Shield
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
February 2026
Assessments
1 assignment
Taught in English
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There are 3 modules in this course
Master enterprise Salesforce data architecture from modeling to production governance. Apply entity design patterns, ERD best practices, and Schema Builder diagrams; implement security controls (Profiles, Permission Sets, OWD, role hierarchy, sharing rules, FLS, validation rules) distinguishing field- vs. record-level access. Optimize Large Data Volumes with Query Plan, indexes, skinny tables, and big objects, showing measurable SOQL performance improvements.
What's included
4 videos2 readings1 peer review
Architect production-grade Salesforce integrations by mastering sync (REST/SOAP, authentication, Named Credentials, External Services, idempotency, retries) and async/event-driven patterns (Platform Events, CDC, durable subscribers, delivery guarantees, DLQs). Apply sync vs. async decision matrices based on timing, volume, coupling, error handling, and use cases. Execute large-scale data migration with Bulk API 2.0, leveraging CSV compression, upserts, parent/child sequencing, reference data mapping, job monitoring, partial failure handling, and Async SOQL for massive datasets.
What's included
3 videos1 reading1 peer review
Establish production-ready data quality, compliance-grade security, and operational observability for enterprise Salesforce. Implement data quality controls: Matching and Duplicate Rules, Duplicate Jobs, cross-object validations, Flow vs. Apex logic, and merge strategies with master/child record handling. Deploy Shield-grade security: Platform/Classic Encryption, Field Audit Trail, Event Monitoring, and Transaction Security policies. Operationalize with dashboards and incident response: monitor API/errors, bulk job failures, validation/duplicate trends, set SLOs/error budgets, implement alerts via Reports or monitoring tools, and document runbooks with triage, RACI, rollback, and success criteria.
What's included
4 videos1 reading1 assignment2 peer reviews
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Status: Free TrialUniversity of California, Irvine
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