Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 35 hours
Course Outline
Introduction to ODI and Architecture
- Foundational ODI concepts: The ELT methodology and its distinctions from traditional ETL frameworks
- Core architectural elements: Repositories, Agents, Topology, and security controls
- Installation procedures and environment configuration standards
ODI Studio and Development Components
- Navigating the ODI Studio interface: Designer, Topology, Operator, and security modules
- Management of projects, data models, and datastore definitions
- Utilizing reverse-engineered metadata for accurate schema representation
Designing Mappings and Interfaces
- Constructing data mappings using the graphical designer and native ODI components
- Incorporating procedures, variables, and packages into mapping logic
- Implementing error handling mechanisms and data validation protocols
Knowledge Modules and ELT Execution
- Analysis of Knowledge Modules (KMs) and their functional classifications
- Selection and customization of KMs to align with specific target systems
- Performance optimization strategies and push-down execution techniques
Topology, Security, and Connectivity
- Configuration of physical and logical schemas and data server connections
- Agent types, deployment configuration, and high availability fundamentals
- Security administration: User roles, profiles, and repository access controls
Scheduling, Deployment, and Operational Management
- Packaging workflows and deploying operational scenarios
- Scheduling methodologies and integration with external orchestration tools
- Job monitoring and troubleshooting via the Operator console and log analysis
Advanced Techniques and Integration Patterns
- Change Data Capture (CDC) patterns, incremental loading, and real-time processing approaches
- Integration strategies for Big Data sources and Hadoop-based ecosystems
- Best practices for developing modular and maintainable integration projects for government systems
Hands-on Labs and Real-World Case Study
- Comprehensive lab exercise: Design, implementation, and deployment of a complete ODI scenario
- Performance tuning exercise: Analysis and optimization of inefficient data mappings
- Case study analysis: Architectural decision-making and lessons learned from production environments
Summary and Next Steps
- Review of core ODI concepts and integration design standards
- Discussion of production deployment strategies and optimization best practices
- Identification of further learning paths and relevant certification opportunities
Requirements
- A solid understanding of relational database concepts
- Practical experience with SQL query and manipulation
- Familiarity with ETL or data integration methodologies
Audience
- ETL and data integration developers
- Data architects and engineers
- DBAs and middleware engineers responsible for integration solutions for government agencies
Testimonials (1)
good explanation on each points and provide assignment for practices.