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 Duration 35 hours

Course Outline

Introduction to ODI and Architecture

  • ODI concepts: the ELT approach and its distinctions from traditional ETL
  • Core components: Repositories, Agents, Topology, and Security
  • Installation overview and environment layout

ODI Studio and Development Components

  • Navigating ODI Studio: Designer, Topology, Operator, and Security panels
  • Projects, Models, and Datastores
  • Utilising reverse-engineered metadata

Designing Mappings and Interfaces

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

Knowledge Modules and ELT Execution

  • Understanding Knowledge Modules (KMs) and their various categories
  • Selecting and customising KMs for different target platforms
  • Performance considerations and push-down optimisation

Topology, Security, and Connectivity

  • Configuring physical and logical schemas and data servers
  • Agent types, configuration, and fundamentals of high availability
  • Security setup: users, profiles, and repository protection

Scheduling, Deployment, and Operational Management

  • Packaging and deploying scenarios
  • Scheduling strategies and integration with external schedulers
  • Monitoring jobs and troubleshooting using the Operator and Logs

Advanced Techniques and Integration Patterns

  • CDC patterns, incremental loading, and change data capture approaches
  • Integration with Big Data sources and Hadoop ecosystems
  • Best practices for creating modular, maintainable integration projects

Hands-on Labs and Real-World Case Study

  • End-to-end lab: designing, implementing, and deploying an ODI scenario
  • Performance tuning lab: analysing and optimising a slow mapping
  • Case study walkthrough: architecture decisions and key lessons learned

Summary and Next Steps

  • Review of key ODI concepts and integration design principles
  • Discussion on production deployment strategies and optimisation techniques
  • Exploring further learning paths and certification options

Requirements

  • A solid understanding of relational database concepts
  • Practical experience with SQL
  • Familiarity with ETL or data integration principles

Audience

  • ETL/Data integration developers
  • Data architects and engineers
  • DBAs and middleware engineers responsible for integration solutions

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customised Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from £8000 + VAT*

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