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Duration 35 hours (5 days)
Course Outline
Introduction to ODI and Architecture
- Core ODI concepts: the ELT approach and its distinctions from traditional ETL.
- Key components: Repositories, Agents, Topology, and Security mechanisms.
- Overview of installation procedures and environment structure.
ODI Studio and Development Components
- Navigating ODI Studio: utilizing the Designer, Topology, Operator, and Security panels.
- Managing Projects, Models, and Datastores.
- Interacting with reverse-engineered metadata.
Designing Mappings and Interfaces
- Developing 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
- Exploring Knowledge Modules (KMs) and their respective categories.
- Selecting and tailoring KMs for various target systems.
- Addressing performance considerations and push-down optimization.
Topology, Security, and Connectivity
- Setting up physical and logical schemas along with data servers.
- Configuring Agent types and understanding high availability basics.
- Establishing security protocols: users, profiles, and repository protection.
Scheduling, Deployment, and Operational Management
- Organizing and deploying scenarios.
- Defining scheduling strategies and integrating with external schedulers.
- Overseeing job execution and troubleshooting via the Operator and Logs.
Advanced Techniques and Integration Patterns
- Applying CDC patterns, incremental loading, and change data capture methods.
- Integrating with Big Data sources and Hadoop ecosystems.
- Adhering to best practices for modular and maintainable integration projects.
Hands-on Labs and Real-World Case Study
- Comprehensive lab: design, implement, and deploy a full ODI scenario.
- Performance tuning lab: analyze and refine a slow mapping.
- Case study analysis: examining architectural decisions and key takeaways.
Summary and Next Steps
- Recap essential ODI concepts and integration design principles.
- Review production deployment strategies and optimization techniques.
- Investigate further learning paths and available certification options.
Requirements
- A solid grasp of relational database principles.
- Proficiency in SQL.
- Acquaintance with ETL or broader data integration concepts.
Target Audience
- ETL and data integration developers.
- Data architects and engineers.
- DBA and middleware engineers tasked with 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