Description

Introduction

Salesforce Data Migration & ETL (Extract, Transform, Load) enables secure, efficient transfer and transformation of data between Salesforce and other systems. It ensures accurate, consistent, and actionable data, automates processes, maintains data integrity, and supports data-driven business decisions.

Learner Prerequisites

• Basic understanding of Salesforce CRM and its data model.
• Familiarity with relational databases and data structures.
• Basic knowledge of ETL concepts and data integration tools.

Table of Contents

1. Introduction to Data Migration

1.1 Overview of Salesforce Data Migration
1.2 Importance of Data Quality and Integrity
1.3 Common Data Migration Challenges
1.4 Key Use Cases and Benefits

2. Salesforce Data Architecture

2.1 Understanding Salesforce Objects and Relationships
2.2 Standard vs Custom Objects
2.3 Data Model Best Practices
2.4 Data Storage Limits and Considerations

3. ETL Concepts and Processes

3.1 Introduction to ETL (Extract, Transform, Load)
3.2 ETL vs ELT: Differences and Use Cases
3.3 Data Extraction Techniques
3.4 Data Transformation Best Practices
3.5 Data Loading Strategies and Tools

4. Salesforce Data Migration Tools

4.1 Data Loader Overview
4.2 Using Salesforce Data Import Wizard
4.3 Third-Party ETL Tools (Informatica, MuleSoft, Talend)
4.4 Comparing Tool Features and Limitations
4.5 Selecting the Right Tool for Your Project

5. Data Migration Planning

5.1 Defining Scope and Requirements
5.2 Data Mapping and Field Transformation
5.3 Data Cleansing and Deduplication
5.4 Risk Assessment and Contingency Planning
5.5 Migration Timeline and Stakeholder Communication

6. Hands-On Data Migration

6.1 Setting Up the Source and Target Systems
6.2 Performing Test Migrations
6.3 Validating Data Accuracy
6.4 Handling Errors and Rollbacks
6.5 Final Migration Execution

7. Automation and Advanced ETL

7.1 Scheduling Data Loads
7.2 Automating Data Transformation
7.3 Integrating with Salesforce APIs
7.4 Monitoring and Logging ETL Processes
7.5 Using AI for Data Cleansing and Enrichment

8. Data Governance and Compliance

8.1 Ensuring Data Security
8.2 GDPR and Regulatory Considerations
8.3 Backup and Recovery Planning
8.4 Audit Trails and Change Management
8.5 Maintaining Ongoing Data Quality

9. Reporting and Analytics Post-Migration

9.1 Verifying Data in Salesforce Reports
9.2 Dashboards for Data Validation
9.3 Key Metrics to Monitor Migration Success
9.4 Continuous Improvement Practices

Conclusion

Mastering Salesforce Data Migration & ETL ensures smooth, secure, and accurate data movement between systems. By combining proper planning, automation, and governance, organizations can enable reliable analytics, efficient operations, and better business decisions.