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Course Outline
Introduction to ODI and Architecture
- Core ODI concepts: The ELT approach and distinctions from traditional ETL
- Key components: Repositories, Agents, Topology, and Security
- Overview of installation and environment setup
ODI Studio and Development Components
- Navigating ODI Studio: Designer, Topology, Operator, and Security panels
- Understanding Projects, Models, and Datastores
- Working with reverse-engineered metadata
Designing Mappings and Interfaces
- Creating mappings using the graphical interface and ODI components
- Utilizing procedures, variables, and packages within mappings
- Implementing error handling and data validation strategies
Knowledge Modules and ELT Execution
- Comprehending Knowledge Modules (KMs) and their various categories
- Selecting and customizing KMs for different target systems
- Addressing performance considerations and push-down optimization
Topology, Security, and Connectivity
- Configuring physical and logical schemas along with data servers
- Agent types, configuration settings, and basics of high availability
- Establishing security: managing users, profiles, and repository protection
Scheduling, Deployment, and Operational Management
- Packaging and deploying scenarios
- Developing scheduling strategies and integrating with external schedulers
- Monitoring jobs and troubleshooting using the Operator and Logs
Advanced Techniques and Integration Patterns
- Exploring CDC patterns, incremental loading, and change data capture methods
- Integrating with Big Data sources and Hadoop ecosystems
- Adhering to best practices for modular, maintainable integration projects
Hands-on Labs and Real-World Case Study
- Comprehensive lab: designing, implementing, and deploying an ODI scenario
- Performance tuning lab: analyzing and optimizing a slow-performing mapping
- Case study walkthrough: reviewing architecture decisions and key lessons learned
Summary and Next Steps
- Reviewing essential ODI concepts and integration design principles
- Discussing production deployment strategies and optimization techniques
- Exploring further learning paths and certification opportunities
Requirements
- A solid understanding of relational database concepts
- Practical experience with SQL
- Familiarity with ETL or general data integration concepts
Audience
- ETL and Data integration developers
- Data architects and engineers
- DBAs and middleware engineers responsible for integration solutions
35 Hours