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 Duration 35 hours

Course Outline

Introduction to ODI and Architecture

  • Core ODI concepts: the ELT approach and how it differs from traditional ETL
  • Essential components: Repositories, Agents, Topology, and Security
  • Installation overview and environment structure

ODI Studio and Development Tools

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

Designing Mappings and Interfaces

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

Knowledge Modules and ELT Execution

  • Understanding Knowledge Modules (KMs) and their classifications
  • Selecting and customizing KMs for various target systems
  • Performance factors and push-down optimization techniques

Topology, Security, and Connectivity

  • Configuring physical and logical schemas along with data servers
  • Agent types, configuration, and high availability fundamentals
  • Security configuration: users, profiles, and repository safeguards

Scheduling, Deployment, and Operational Management

  • Packaging and deploying scenarios
  • Scheduling strategies and integration with external schedulers
  • Monitoring jobs and troubleshooting via 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 modular and 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: analyzing and optimizing slow mappings
  • Case study walkthrough: architectural decisions and key takeaways

Summary and Next Steps

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

Requirements

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

Target Audience

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

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (3)

good explanation on each points and provide assignment for practices.

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

Greg was very patient and helpful

Chris Havel - Encyclopaedia Britannica
Course - ORACLE SQL Fundamentals

Learning about a new tool, the practices help a lot in understanding the topics, and that was what I liked the most.

David Vargas Alpizar - BANCO BAC SAN JOSE S.A
Course - Oracle Database 19c: Administration

Machine Translated

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