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Course Outline
Introduction to ODI and Architecture
- Core ODI concepts: The ELT approach and its distinctions from traditional ETL
- Essential components: Repositories, Agents, Topology, and Security frameworks
- Installation insights and environment configuration overview
ODI Studio and Development Components
- Navigating ODI Studio: Utilizing the Designer, Topology, Operator, and Security panels
- Managing Projects, Models, and Datastores
- Working with reverse-engineered metadata
Designing Mappings and Interfaces
- Building mappings via 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 various categories
- Selecting and customizing KMs for specific 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: User management, profiles, and repository protection
Scheduling, Deployment, and Operational Management
- Package and scenario deployment processes
- 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 methodologies
- 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: Designing, implementing, and deploying an ODI scenario
- Performance tuning lab: Analyzing and optimizing slow mappings
- Case study review: Exploring architecture decisions and key takeaways
Summary and Next Steps
- Review of critical ODI concepts and integration design principles
- Discussion on production deployment strategies and optimization methods
- Exploring further learning paths and certification options
Requirements
- A solid grasp of relational database principles
- Practical experience with SQL
- Familiarity with ETL or general data integration concepts
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