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Who Is This White Paper For?

This comprehensive guide is designed for technical professionals responsible for Oracle database migration projects.

Database Administrators

DBAs managing Oracle 11g databases who need to plan and execute migrations to Oracle 19c/21c while minimizing downtime and ensuring data integrity.

Oracle Developers

PL/SQL developers working with large codebases who need to identify, analyze, and modernize obsolete code during migration projects. Essential for teams maintaining complex stored procedures, packages, and triggers.

Solution Architects

Technical architects responsible for designing migration strategies and ensuring compatibility across complex Oracle environments.

IT Project Managers

Project managers overseeing Oracle migration initiatives who need to understand scope, risks, and timelines for successful project delivery.

PL/SQL Migration Technical Scope

Comprehensive analysis and migration methodology for Oracle PL/SQL code and database schemas.

Code Volume Assessment

Automated inventory of database objects and PL/SQL code. Calculate metrics including lines of code, procedures, functions, packages, and triggers. Generate entity-relationship diagrams for complexity analysis.

Dead Code Detection

Static dependency analysis to identify unreferenced procedures, functions, and tables. Detect empty procedures, duplicate code blocks, and unused database objects to reduce migration scope.

Dependency Analysis

Complete impact analysis of code modifications. Map dependencies between procedures, triggers, tables, and external references. Generate CRUD matrices and call diagrams for change evaluation.

Performance Analysis

Identify execution bottlenecks, missing indexes, and slow queries using Oracle statistics. Analyze procedure call chains and execution times for post-migration optimization.

Automated Documentation

Generate technical documentation from code analysis. Create HTML documentation with cross-references, parameter lists, and dependency graphs for migrated database structure.

Continuous Monitoring

Post-migration code quality checks and performance monitoring. Systematic impact analysis for future changes and regression prevention through regular validation.

Migration Methodology

Systematic approach covering assessment, cleanup, modernization, and optimization phases.

1

Volume Assessment

Inventory database objects, calculate code metrics, generate E/R diagrams for complexity evaluation.

2

Code Cleanup

Remove unreferenced objects, unused tables, empty procedures, and duplicate code blocks.

3

Obsolete Detection

Identify deprecated Oracle features (DBMS_JOB, LONG types) and plan replacements with modern equivalents.

4

Impact Analysis

Map all object dependencies, analyze modification consequences, generate change impact reports.

5

Implementation

Apply changes systematically with verification tracking and schema comparison tools.

6

Documentation

Auto-generate technical documentation with cross-references, call diagrams, and data model exports.

7

Optimization

Analyze performance statistics, detect missing indexes, optimize slow queries using execution plans.

8

Monitoring

Implement systematic impact analysis for future changes and regular code quality validation.

Discover how to achieve a successful Oracle migration.

Download the white paper

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Pricing in Euro

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