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Duration 35 hours (5 days)
Course Outline
Introduction to ODI and Architecture
- ODI fundamentals: The ELT approach and its distinctions from traditional ETL
- Essential 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 sections
- Managing Projects, Models, and Datastores
- Utilizing reverse-engineered metadata
Designing Mappings and Interfaces
- Building mappings using the graphical interface and ODI elements
- Incorporating procedures, variables, and packages into 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 systems
- Performance factors and push-down optimization techniques
Topology, Security, and Connectivity
- Setting up physical and logical schemas and data servers
- Agent types, configuration, and fundamentals of high availability
- Security configuration: users, profiles, and repository safeguards
Scheduling, Deployment, and Operations
- Scenario packaging and deployment processes
- Scheduling strategies and integration with external scheduler tools
- Job monitoring and troubleshooting via the 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, maintainable integration projects
Hands-on Labs and Real-World Case Study
- End-to-end lab: Design, implement, and deploy an ODI scenario
- Performance tuning lab: Diagnose and optimize a sluggish mapping
- Case study analysis: Architectural decisions and key takeaways
Summary and Future Steps
- Recap of core ODI concepts and integration design principles
- Discussion on production deployment strategies and optimization methods
- 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/Data integration developers
- Data architects and engineers
- DBA and middleware engineers overseeing 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