Salesforce Data Architecture & Integration

Instructors: Starweaver

Access provided by STMicroelectronics

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

5 hours to complete

Flexible schedule

Learn at your own pace

3 modules

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

Skills you'll gain

Tools you'll learn

Details to know

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Assessments

1 assignment

Taught in English

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There are 3 modules in this course

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.

Through hands-on labs, you'll practice selecting the right sync/async integration patterns, building governed ERDs, applying field-level security and sharing policies, crafting selective queries with custom indexes, orchestrating bulk migrations, and monitoring with Event Monitoring dashboards. This course is designed for Salesforce professionals and aspiring architects who want to master data architecture and integration at an advanced, job-ready level. Learners should be familiar with Salesforce Admin basics, SOQL, relational DB concepts, JSON/XML, and HTTP fundamentals. Requires: Dev Org, Postman, Salesforce CLI installed. By the end, you'll deliver a production-ready architecture blueprint with a governed data model, integration contracts, migration plan, and operational metrics ready to scale in enterprise environments.

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

4 videos Total 46 minutes

Welcome to Salesforce Data Architecture & Integration 2 minutes
Modeling Patterns: Standard vs Custom, lookups vs master-detail, rollups, ERD tips 13 minutes
Sharing & FLS Essentials 20 minutes
Large Data Volumes & Query Selectivity 10 minutes

2 readings Total 10 minutes

Welcome to the Course: Course Overview 5 minutes
Data Modeling & Security References 5 minutes

1 peer review Total 20 minutes

Hands-On-Learning: Design Secure Patient Data Model & Security 20 minutes

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.