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Table of Contents
Table of Contents
Learn the structured approach to moving data between systems, from planning to validation, ensuring integrity and minimal disruption.
2,100+ enrolled this week
Structured
Phased path
Viable
Real-world examples
Progressive
Job-aligned skills
Organizations undertaking system upgrades, cloud migrations, or mergers face the critical challenge of migrating data accurately. This course provides the frameworks and techniques to plan, execute, and validate data migrations effectively.
Explore the Free Section on Data Migration Techniques
What You Will Learn
- 1 Understand the fundamentals of data migration including types, challenges, and planning
- 2 Explore different migration methodologies such as big bang, trickle, and phased approaches
- 3 Learn techniques for data assessment, profiling, and quality analysis before migration
- 4 Apply methods for data extraction and transformation including ETL/ELT processes
- 5 Implement data loading strategies and validation checks to ensure data integrity
- 6 Evaluate and select appropriate data migration tools and technologies
- 7 Understand data migration in cloud environments including lift-and-shift and re-architecting
- 8 Handle database-specific migrations such as relational to NoSQL and schema conversions
- 9 Manage large-scale migrations with performance optimization and cutover planning
- 10 Apply governance and compliance principles to data migration projects
What's Included
Core self-paced training
Verifiable certificate
Contemporary insights
100% text-based
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Data Migration Techniques