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Course Outline
Introduction to ODI and Architecture
- Foundational ODI concepts: The ELT approach and its distinction from traditional ETL
- Key components: Repositories, Agents, Topology, and Security
- Overview of installation and environment configuration
ODI Studio and Development Tools
- Navigating ODI Studio: Designer, Topology, Operator, and Security interfaces
- Working with Projects, Models, and Datastores
- Utilizing reverse-engineered metadata
Designing 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 strategies
Knowledge Modules and ELT Execution
- Understanding Knowledge Modules (KMs) and their various categories
- Selecting and tailoring KMs for different target systems
- Addressing performance considerations and push-down optimization
Topology, Security, and Connectivity
- Setting up physical and logical schemas and data servers
- Agent types, configuration, and basic high-availability concepts
- Security implementation: user management, profiles, and repository protection
Scheduling, Deployment, and Operational Management
- Packaging and deploying scenarios
- Scheduling strategies and integration with external schedulers
- Job monitoring and troubleshooting using the Operator and Logs
Advanced Techniques and Integration Patterns
- Change Data Capture (CDC) patterns, incremental loading, and capture approaches
- Integration with Big Data sources and Hadoop ecosystems
- Best practices for building modular and maintainable integration projects
Hands-on Labs and Real-World Case Study
- End-to-end lab: Designing, implementing, and deploying an ODI scenario
- Performance tuning lab: Analyzing and optimizing a slow mapping
- Case study analysis: Architectural decisions and key takeaways
Summary and Next Steps
- Recap of core ODI concepts and integration design principles
- Discussion on production deployment strategies and optimization techniques
- Exploring further learning paths and certification opportunities
Requirements
- A solid grasp of relational database fundamentals
- Practical experience with SQL
- Basic familiarity with ETL or data integration principles
Target Audience
- ETL and data integration developers
- Data architects and engineers
- DBAs and middleware engineers overseeing integration solutions
35 Hours
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