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Course Outline
Introduction to ODI and Architecture
- Core ODI concepts: the ELT approach and its distinctions from traditional ETL
- Essential components: Repositories, Agents, Topology, and Security features
- Overview of installation processes and environment configuration
ODI Studio and Development Components
- Navigating ODI Studio: utilizing the Designer, Topology, Operator, and Security panels
- Working with Projects, Models, and Datastores
- Managing reverse-engineered metadata
Designing Mappings and Interfaces
- Building mappings using the graphical interface and native ODI components
- Incorporating procedures, variables, and packages within mappings
- Strategies for error handling and data validation
Knowledge Modules and ELT Execution
- Comprehending Knowledge Modules (KMs) and their various categories
- Choosing and customizing KMs for specific target platforms
- Performance optimization and push-down strategies
Topology, Security, and Connectivity
- Configuration of physical and logical schemas and data servers
- Agent types, setup procedures, and fundamentals of high availability
- Security configuration: user management, profiles, and repository protection
Scheduling, Deployment, and Operational Management
- Packaging and deploying scenarios for production
- Scheduling methodologies and integration with external scheduling tools
- Monitoring job execution and troubleshooting using the Operator and Logs
Advanced Techniques and Integration Patterns
- Implementing CDC patterns, incremental loading, and change data capture methods
- Integration strategies for Big Data sources and Hadoop ecosystems
- Best practices for creating modular and maintainable integration projects
Hands-on Labs and Real-World Case Study
- End-to-end lab: designing, implementing, and deploying a complete ODI scenario
- Performance tuning lab: diagnosing and optimizing a slow-running mapping
- Case study analysis: reviewing architectural decisions and key takeaways
Summary and Next Steps
- Recap of essential ODI concepts and integration design principles
- Discussion on production deployment strategies and optimization techniques
- Exploration of further learning paths and certification opportunities
Requirements
- A solid grasp of relational database concepts
- Proficiency in SQL
- Knowledge of ETL or general data integration principles
Target Audience
- ETL and data integration developers
- Data architects and engineers
- DBAs and middleware engineers tasked with integration solutions
35 Hours
Testimonials (1)
good explanation on each points and provide assignment for practices.
