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Duration 35 hours
Course Outline
Introduction to ODI and its Architecture
- Core ODI principles: The ELT approach and how it contrasts with traditional ETL
- Essential components: Repositories, Agents, Topology, and Security
- Overview of installation and environmental configuration
ODI Studio and Development Tools
- Navigating ODI Studio: Utilizing Designer, Topology, Operator, and Security panels
- Managing Projects, Models, and Datastores
- Interpreting and working with reverse-engineered metadata
Creating Mappings and Interfaces
- Building mappings using the graphical interface and ODI components
- Incorporating procedures, variables, and packages into mappings
- Implementing error handling and data validation protocols
Knowledge Modules and ELT Execution
- Exploring Knowledge Modules (KMs) and their classifications
- Selecting and adjusting KMs for various target systems
- Performance optimization and push-down strategies
Topology, Security, and Connectivity
- Setting up physical and logical schemas along with data servers
- Configuring Agent types and ensuring high availability
- Establishing security frameworks: users, profiles, and repository protection
Scheduling, Deployment, and Operations
- Packaging and deploying scenarios effectively
- Defining scheduling strategies and linking with external schedulers
- Monitoring job status and troubleshooting via Operator and Logs
Advanced Techniques and Integration Patterns
- Applying CDC patterns, incremental loading, and change data capture methods
- Connecting with Big Data sources and Hadoop ecosystems
- Adopting best practices for modular and maintainable integration projects
Practical Labs and Real-World Case Study
- End-to-end exercise: Design, build, and deploy an ODI scenario
- Performance tuning session: Analyze and improve a slow mapping
- Case study analysis: Reviewing architectural decisions and key takeaways
Conclusion and Future Directions
- Revisiting core ODI concepts and integration design principles
- Discussing production deployment strategies and optimization methods
- Identifying paths for further learning and certification options
Requirements
- A solid grasp of relational database fundamentals
- Practical experience with SQL
- Knowledge of ETL or data integration principles
Intended Audience
- ETL and data integration developers
- Data architects and engineers
- DBAs and middleware engineers overseeing integration solutions
Testimonials (2)
good explanation on each points and provide assignment for practices.
Piseth Ben - ACLEDA Bank Plc.
Course - Oracle Database 19c: SQL Tuning Workshop
Greg was very patient and helpful