Type: Database Migration / Data Engineering
End-to-end database migration project demonstrating the conversion of a MySQL database to Oracle using Oracle SQL Developer Migration Workbench, including schema conversion, error handling, and data validation.
This project involves migrating a relational database from MySQL to Oracle using Oracle SQL Developer Migration Workbench. The process includes converting schema objects such as tables, constraints, and relationships, followed by data migration and validation.
The objective was to understand cross-platform database migration, handle real-world issues, and ensure data consistency between source and target systems.
Schema conversion from MySQL to Oracle
Migration of database objects from MySQL to Oracle
Handling migration errors and system issues
Data validation using SQL queries
End-to-end migration workflow using Oracle SQL Developer
Repository Creation Issues: Resolved by recreating the migration repository and reconfiguring settings
Repository Corruption: Fixed by resetting the repository and rerunning migration steps
ORA-28000 (Account Lock): Resolved by unlocking the Oracle user account
Verified row counts between MySQL and Oracle
Executed SQL queries to ensure data accuracy
Cross-checked sample records between source and target systems
MySQL • Oracle SQL Developer • SQL
A visual demonstration of the end-to-end migration process, including schema conversion, execution, error handling, and validation.
mysql-to-oracle-migration-demo.mp4Explore the complete SQL scripts, schema conversion, and data validation queries used in this MySQL to Oracle migration project
MySQL Sakila database showing tables before migration
Migration setup and target database configuration in SQL Developer
SQL scripts and logs generated during migration process
This project provided practical exposure to database migration between heterogeneous systems. It strengthened understanding of schema conversion, troubleshooting migration errors, and ensuring data integrity, forming a solid foundation in data engineering concepts.
