Get in Touch

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

  • Conversion of Oracle data types to PostgreSQL formats
  • Translation of SQL Server data types
  • Conversion of table structures
  • Mapping of indexes and constraints

Object Migration: Stored Procedures and Functions

  • Conversion from PL/SQL to PL/pgSQL
  • Techniques for translating T-SQL
  • Identification of equivalent built-in functions
  • Restructuring of 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
  • Efficient handling of large data volumes

Application Code Migration

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

Testing and Validation

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

Post-Migration Optimization

  • Tuning query performance within PostgreSQL
  • Adjusting configurations for migrated workloads
  • Setup of monitoring and alerting systems
  • Considerations for ongoing maintenance

Troubleshooting Common Migration Issues

  • Case study: Challenges encountered during Oracle migrations
  • Case study: Challenges encountered during SQL Server migrations
  • Rollback strategies
  • Lessons learned and best practices

Hands-On Migration Workshop

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

Requirements

  • Foundational knowledge of relational databases
  • Proficiency in SQL
  • Familiarity with database administration principles

Target Audience

  • Database Administrators
  • Application Developers
  • IT Architects
 14 Hours

Number of participants


Price per participant

Testimonials (2)

Upcoming Courses

Related Categories