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Course Outline
Introduction to ODI and Architecture
- Core ODI concepts: The ELT paradigm and how it differs from traditional ETL
- Essential components: Repositories, Agents, Topology, and Security frameworks
- Overview of installation processes and environment configuration
ODI Studio and Development Components
- Navigating ODI Studio: Exploring Designer, Topology, Operator, and Security panels
- Managing Projects, Models, and Datastores
- Utilizing reverse-engineered metadata for efficient development
Designing Mappings and Interfaces
- Building mappings using the graphical interface and various ODI components
- Incorporating procedures, variables, and packages into data flows
- Implementing robust error handling and data validation strategies
Knowledge Modules and ELT Execution
- Understanding Knowledge Modules (KMs) and their various categories
- Selecting and customizing KMs to suit different target systems
- Optimizing performance through push-down strategies and best practices
Topology, Security, and Connectivity
- Configuring physical and logical schemas along with data servers
- Managing Agent types, configuration, and high availability setups
- Establishing security protocols: users, profiles, and repository protection
Scheduling, Deployment, and Operational Management
- Package creation and deployment of scenarios
- Defining scheduling strategies and integrating with external scheduler tools
- Monitoring job execution and troubleshooting via the Operator and Logs
Advanced Techniques and Integration Patterns
- Implementing CDC patterns, incremental loading, and change data capture methods
- Connecting with Big Data sources and Hadoop-based ecosystems
- Applying best practices for modular, maintainable integration projects
Hands-on Labs and Real-World Case Study
- End-to-end practical exercise: Designing, implementing, and deploying an ODI scenario
- Performance tuning session: Analyzing and optimizing inefficient mappings
- Case study analysis: Reviewing architectural decisions and key lessons learned
Summary and Next Steps
- Reviewing fundamental ODI concepts and integration design principles
- Discussing strategies for production deployment and continuous optimization
- Exploring further learning paths and relevant certification opportunities
Requirements
- A solid grasp of relational database fundamentals
- Proficiency in writing SQL queries
- Existing knowledge of ETL or data integration methodologies
Target Audience
- ETL and data integration developers
- Data architects and engineers
- DBA and middleware specialists responsible for integration strategies
35 Hours
Testimonials (1)
good explanation on each points and provide assignment for practices.
