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
您将学到什么
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
您将获得的技能
- Simple Object Access Protocol (SOAP)
- Data Security
- Event Monitoring
- Salesforce Object Query Language (SOQL)
- Application Programming Interface (API)
- Governance
- Dashboard
- Scalability
- Data Integration
- Database Design
- Data Architecture
- Data Migration
- Data Quality
- Salesforce Development
- Restful API
- Web Services
- Data Modeling
- Salesforce
- 技能部分已折叠。显示 8 项技能，共 18 项。
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最近已更新！
February 2026
作业
1 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
该课程共有3个模块
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.
涵盖的内容
4个视频2篇阅读材料1次同伴评审
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.
涵盖的内容
3个视频1篇阅读材料1次同伴评审
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.
涵盖的内容
4个视频1篇阅读材料1个作业2次同伴评审
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