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 Duration 35 hours (5 days)

Course Outline

Introduction to ODI and Architecture

  • ODI concepts: The ELT approach and its distinction from traditional ETL
  • Core components: Repositories, Agents, Topology, and Security
  • Overview of installation and environment layout

ODI Studio and Development Components

  • Navigating ODI Studio: Designer, Topology, Operator, and Security panels
  • Projects, Models, and Datastores
  • Utilizing 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 categories
  • Selecting and customizing KMs for various targets
  • Performance considerations and push-down optimization

Topology, Security, and Connectivity

  • Configuring physical and logical schemas and data servers
  • Agent types, configuration, and high availability fundamentals
  • 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 Operator and Logs

Advanced Techniques and Integration Patterns

  • CDC patterns, incremental loading, and change data capture approaches
  • Integrating with Big Data sources and Hadoop ecosystems
  • Best practices for 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: Analyze and optimize a slow mapping
  • Case study walkthrough: Architecture decisions and key takeaways

Summary and Next Steps

  • Review key ODI concepts and integration design principles
  • Discuss production deployment strategies and optimization techniques
  • Explore further learning paths and certification options

Requirements

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

Target Audience

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

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (1)

good explanation on each points and provide assignment for practices.

Piseth Ben - ACLEDA Bank Plc.
Course - Oracle Database 19c: SQL Tuning Workshop

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