Course Outline

Introduction to ODI and Architecture for Government

  • ODI concepts: ELT approach, differences from traditional ETL processes
  • Core components: Repositories, Agents, Topology, and Security features
  • Overview of installation procedures and environment layout for government use

ODI Studio and Development Components for Government

  • Navigating ODI Studio: Designer, Topology, Operator, and Security panels tailored for government users
  • Projects, Models, and Datastores management for government applications
  • Working with reverse-engineered metadata in a public sector context

Designing Mappings and Interfaces for Government

  • Creating mappings using the graphical interface and ODI components for government projects
  • Utilizing procedures, variables, and packages in mappings for enhanced functionality
  • Implementing error handling and data validation strategies to ensure compliance with public sector standards

Knowledge Modules and ELT Execution for Government

  • Understanding Knowledge Modules (KMs) and their various categories for government use
  • Selecting and customizing KMs to meet specific government requirements and targets
  • Considering performance optimization and push-down strategies in a public sector environment

Topology, Security, and Connectivity for Government

  • Configuring physical and logical schemas and data servers to align with government standards
  • Managing Agent types, configuration, and high availability basics in a public sector context
  • Setting up security measures: users, profiles, and repository protection for government systems

Scheduling, Deployment, and Operational Management for Government

  • Packaging and deploying scenarios to meet government deployment needs
  • Developing scheduling strategies and integrating with external schedulers in a public sector setting
  • Monitoring jobs and troubleshooting using Operator and Logs for enhanced operational management in government

Advanced Techniques and Integration Patterns for Government

  • Implementing CDC patterns, incremental loading, and change data capture approaches for government projects
  • Integrating with Big Data sources and Hadoop ecosystems in a public sector context
  • Applying best practices for modular, maintainable integration projects in government environments

Hands-on Labs and Real-World Case Study for Government

  • End-to-end lab: design, implement, and deploy an ODI scenario for a government project
  • Performance tuning lab: analyze and optimize a slow mapping in a public sector setting
  • Case study walkthrough: architecture decisions and lessons learned from government implementations

Summary and Next Steps for Government

  • Review key ODI concepts and integration design principles relevant to the public sector
  • Discuss production deployment strategies and optimization techniques for government systems
  • Explore further learning paths and certification options tailored for government professionals
 35 Hours

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