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Course Outline

Introduction to Database Migration

  • Reasons for migrating from proprietary to open source
  • Architecture comparison: Oracle/SQL Server vs PostgreSQL
  • Common migration challenges and success factors
  • Overview of migration methodologies

Pre-Migration Assessment and Planning

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

Schema Migration Strategies

  • Converting Oracle data types to PostgreSQL
  • Translating SQL Server data types
  • Table structure conversion
  • Index and constraint mapping

Object Migration: Stored Procedures and Functions

  • PL/SQL to PL/pgSQL conversion
  • T-SQL translation techniques
  • Equivalent built-in functions
  • Restructuring packages and procedures

Data Migration Tools and Techniques

  • Using pg_dump and pg_restore
  • Oracle FDW for data migration
  • SQL Server integration services
  • Efficient handling of large data volumes

Application Code Migration

  • Differences between JDBC and ODBC drivers
  • Modifications to connection strings
  • Differences in SQL dialects within application code
  • Handling proprietary features

Testing and Validation

  • Verification of data integrity
  • Functional testing strategies
  • Performance benchmarking
  • Parallel running and cutover planning

Post-Migration Optimization

  • Query performance tuning in PostgreSQL
  • Configuration adjustments for migrated workloads
  • Setup of monitoring and alerting
  • Considerations for ongoing maintenance

Troubleshooting Common Migration Issues

  • Case study: Oracle migration challenges
  • Case study: SQL Server migration challenges
  • Rollback strategies
  • Lessons learned and best practices

Hands-On Migration Workshop

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

Requirements

  • Basic understanding of relational databases
  • Experience with SQL
  • Familiarity with database administration concepts

Audience

  • Database Administrators
  • Application Developers
  • IT Architects
 14 Hours

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