Get in Touch
 Duration 35 hours (5 days)

Course Outline

Introduction to ODI and Architecture

  • ODI fundamentals: The ELT approach and its distinctions from traditional ETL
  • Essential components: Repositories, Agents, Topology, and Security
  • Overview of installation and environment configuration

ODI Studio and Development Tools

  • Navigating ODI Studio: Designer, Topology, Operator, and Security sections
  • Managing Projects, Models, and Datastores
  • Utilizing reverse-engineered metadata

Designing Mappings and Interfaces

  • Building mappings using the graphical interface and ODI elements
  • Incorporating procedures, variables, and packages into mappings
  • Strategies for error handling and data validation

Knowledge Modules and ELT Execution

  • Comprehending Knowledge Modules (KMs) and their various categories
  • Choosing and customizing KMs for specific target systems
  • Performance factors and push-down optimization techniques

Topology, Security, and Connectivity

  • Setting up physical and logical schemas and data servers
  • Agent types, configuration, and fundamentals of high availability
  • Security configuration: users, profiles, and repository safeguards

Scheduling, Deployment, and Operations

  • Scenario packaging and deployment processes
  • Scheduling strategies and integration with external scheduler tools
  • Job monitoring and troubleshooting via the Operator and Logs

Advanced Techniques and Integration Patterns

  • CDC patterns, incremental loading, and change data capture methods
  • 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: Design, implement, and deploy an ODI scenario
  • Performance tuning lab: Diagnose and optimize a sluggish mapping
  • Case study analysis: Architectural decisions and key takeaways

Summary and Future Steps

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

Requirements

  • A solid grasp of relational database concepts
  • Proficiency in SQL
  • Knowledge of ETL or data integration principles

Target Audience

  • ETL/Data integration developers
  • Data architects and engineers
  • DBA and middleware engineers overseeing integration solutions

Number of participants


Price per participant

Testimonials (3)

Upcoming Courses

Related Categories