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Duration 35 hours
Course Outline
Introduction to ODI and Architecture
- Core ODI concepts: the ELT approach and distinctions from traditional ETL
- Essential components: Repositories, Agents, Topology, and Security
- Installation overview and environment structure
ODI Studio and Development Components
- Navigation within ODI Studio: Designer, Topology, Operator, and Security panels
- Management of Projects, Models, and Datastores
- Utilizing reverse-engineered metadata
Designing Mappings and Interfaces
- Creating mappings via 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
- Comprehending Knowledge Modules (KMs) and their classification
- Selecting and tailoring KMs for various target environments
- Addressing performance considerations and push-down optimization
Topology, Security, and Connectivity
- Configuration of physical and logical schemas and data servers
- Agent types, setup, and foundational 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 Operator and Logs
Advanced Techniques and Integration Patterns
- CDC patterns, incremental loading, and change data capture methods
- Integration with 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 an ODI scenario
- Performance tuning lab: analyzing and optimizing a slow mapping
- Case study review: architectural decisions and key takeaways
Summary and Next Steps
- Recap of key 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 data integration principles
Target Audience
- ETL and Data Integration developers
- Data architects and engineers
- DBAs and middleware engineers responsible for integration solutions
Testimonials (3)
good explanation on each points and provide assignment for practices.
Piseth Ben - ACLEDA Bank Plc.
Course - Oracle Database 19c: SQL Tuning Workshop
presentation skills, prompt answers to all questions
Oana - OPEN COURSE
Course - Oracle SQL LP - Fundamentals
it was structured very well both by days and by modules, easy to follow