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Course Outline
Introduction to Oracle Data Integrator and System Architecture
- Foundational ODI concepts: ELT methodology and distinctions from conventional ETL processes
- Core architectural elements: repositories, agents, topology, and security frameworks
- Installation procedures and enterprise environment configuration
Oracle Data Integrator Studio and Development Tools
- Navigating ODI Studio: accessing Designer, Topology, Operator, and Security workspaces
- Managing projects, physical models, and logical datastores
- Utilizing reverse-engineered metadata for source system analysis
Designing Mappings and Interfaces for Data Integration
- Constructing mappings using the graphical interface and native ODI components
- Implementing procedures, variables, and packages within mapping logic
- Strategies for error handling and ensuring data validation integrity
Knowledge Modules and ELT Execution Framework
- Understanding the function and classification of Knowledge Modules (KMs)
- Selecting and tailoring KMs for specific target system requirements
- Performance optimization techniques, including query push-down capabilities
Topology Configuration, Security, and Network Connectivity
- Configuring physical and logical schemas alongside data server connections
- Agent configurations and establishing high availability protocols
- Implementing security measures: user management, profiles, and repository protection
Scheduling, Deployment, and Operational Governance
- Packaging and deploying integration scenarios across environments
- Developing scheduling strategies and integrating with external orchestration tools
- Monitoring job execution and troubleshooting via the Operator console and logs for government IT operations
Advanced Integration Techniques and Architectural Patterns
- Implementing Change Data Capture (CDC) patterns and incremental loading mechanisms
- Connecting to Big Data sources and Hadoop ecosystems for scalable data processing
- Adhering to best practices for modular, maintainable, and auditable integration projects
Practical Exercises and Government Case Study Analysis
- End-to-end lab exercise: designing, implementing, and deploying an ODI scenario within government standards
- Performance tuning lab: analyzing bottlenecks and optimizing complex mappings
- Case study review: evaluating architectural decisions and operational lessons learned for federal contexts
Summary and Future Directions
- Reinforcing key ODI concepts and data integration design principles for government systems
- Examining production deployment strategies and advanced optimization techniques
- Identifying professional development pathways and relevant certification opportunities
Requirements
- Knowledge of relational database principles
- Proficiency in SQL
- Familiarity with ETL or data integration methodologies
Audience
- ETL/Data integration developers
- Data architects and engineers
- DBA and middleware engineers responsible for integration solutions for government applications
35 Hours
Testimonials (1)
good explanation on each points and provide assignment for practices.