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Course Outline
Introduction to ODI and Architecture
- ODI concepts: The ELT approach and distinctions from traditional ETL
- Core components: Repositories, Agents, Topology, and Security
- Overview of installation and environment layout
ODI Studio and Development Components
- Navigating ODI Studio: Designer, Topology, Operator, and Security panels
- Projects, Models, and Datastores
- Working with reverse-engineered metadata
Designing Mappings and Interfaces
- Creating mappings using the graphical interface and ODI components
- Incorporating procedures, variables, and packages into mappings
- Strategies for error handling and data validation
Knowledge Modules and ELT Execution
- Understanding Knowledge Modules (KMs) and their respective categories
- Selecting and customizing KMs for various target systems
- Performance considerations and push-down optimization techniques
Topology, Security, and Connectivity
- Configuring physical and logical schemas along with data servers
- Agent types, configuration settings, and high availability fundamentals
- Security setup: managing users, profiles, and repository protection
Scheduling, Deployment, and Operational Management
- Packaging and deploying scenarios
- Scheduling strategies and integration with external schedulers
- Monitoring jobs and troubleshooting using Operator and Logs
Advanced Techniques and Integration Patterns
- CDC patterns, incremental loading, and change data capture approaches
- Integrating 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: design, implement, and deploy an ODI scenario
- Performance tuning lab: analyze and optimize a sluggish mapping
- Case study walkthrough: examining architecture decisions and key lessons learned
Summary and Next Steps
- Review 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 understanding of relational database concepts
- Proficiency with SQL
- Familiarity with ETL or general data integration concepts
Audience
- ETL/Data integration developers
- Data architects and engineers
- DBAs and middleware engineers responsible for 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