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Course Outline

Introduction to Database Migration

  • Rationale for migrating from proprietary systems to open source
  • Architectural comparison between Oracle/SQL Server and PostgreSQL
  • Common migration challenges and key success factors
  • Overview of various migration methodologies

Pre-Migration Assessment and Planning

  • Database inventory and dependency analysis
  • Evaluation of schema complexity
  • Assessment of application compatibility
  • Development of a migration roadmap and timeline

Schema Migration Strategies

  • Converting Oracle data types to PostgreSQL equivalents
  • Translating SQL Server data types
  • Conversion of table structures
  • Mapping indexes and constraints

Object Migration: Stored Procedures and Functions

  • Converting PL/SQL to PL/pgSQL
  • Techniques for translating T-SQL
  • Evaluating equivalent built-in functions
  • Restructuring packages and procedures

Data Migration Tools and Techniques

  • Utilizing pg_dump and pg_restore
  • Employing Oracle FDW for data migration
  • Using SQL Server Integration Services
  • Efficiently handling large volumes of data

Application Code Migration

  • Differences between JDBC and ODBC drivers
  • Modifications required for connection strings
  • Addressing SQL dialect differences in application code
  • Managing proprietary features

Testing and Validation

  • Verification of data integrity
  • Strategies for functional testing
  • Performance benchmarking
  • Planning for parallel running and cutover

Post-Migration Optimization

  • Tuning query performance in PostgreSQL
  • Making configuration adjustments for migrated workloads
  • Setting up monitoring and alerting systems
  • Considerations for ongoing maintenance

Troubleshooting Common Migration Issues

  • Case study: Challenges encountered during Oracle migration
  • Case study: Challenges encountered during SQL Server migration
  • Strategies for rollback
  • Key lessons learned and best practices

Hands-On Migration Workshop

  • Guided migration of a sample schema
  • Exercises in data extraction and loading
  • Practice in code conversion
  • Exercises in validation and verification

Requirements

  • Fundamental understanding of relational databases
  • Practical experience with SQL
  • Familiarity with core database administration concepts

Audience

  • Database Administrators
  • Application Developers
  • IT Architects
 14 Hours

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