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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

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