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 Duration 35 hours (5 days)

Course Outline

Introduction to ODI and Core Architecture

  • Foundational ODI concepts: the ELT methodology and its distinctions from traditional ETL
  • Essential components: Repositories, Agents, Topology, and security frameworks
  • Overview of installation procedures and environment structure

ODI Studio and Development Interface

  • Navigating ODI Studio: utilizing the Designer, Topology, Operator, and Security panels
  • Managing Projects, Models, and Datastores
  • Effective use of reverse-engineered metadata

Designing Mappings and Interfaces

  • Building mappings via the graphical interface and integrated ODI components
  • Incorporating procedures, variables, and packages into mapping logic
  • Strategies for error handling and data validation

Knowledge Modules and ELT Execution

  • Analysis of Knowledge Modules (KMs) and their functional categories
  • Selection and customization of KMs for various target systems
  • Performance optimization techniques, including push-down strategies

Topology, Security, and Connectivity Management

  • Configuration of physical and logical schemas and data servers
  • Understanding Agent types, setup, and high availability concepts
  • Establishing security protocols: user management, profiles, and repository safeguards

Scheduling, Deployment, and Operational Oversight

  • Process for packaging and deploying scenarios
  • Scheduling approaches and integration with external scheduler tools
  • Job monitoring and troubleshooting using Operator and Log features

Advanced Techniques and Integration Patterns

  • Implementation of CDC patterns, incremental loading, and change data capture
  • Integration with Big Data sources and Hadoop ecosystems
  • Best practices for maintaining modular, scalable integration projects

Hands-on Labs and Practical Case Studies

  • End-to-end exercise: designing, implementing, and deploying a complete ODI scenario
  • Performance tuning lab: diagnosing and optimizing inefficient mappings
  • Case study analysis: reviewing architectural decisions and key takeaways

Summary and Future Pathways

  • Recap of core ODI concepts and integration design principles
  • Discussion on production deployment strategies and advanced optimization
  • Exploration of further learning resources and certification opportunities

Requirements

  • A solid grasp of relational database principles
  • Practical experience with SQL
  • A working knowledge of ETL or data integration frameworks

Intended Audience

  • ETL and data integration developers
  • Data architects and engineers
  • DBAs and middleware engineers overseeing integration solutions

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