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Course Outline

Introduction to ODI and Its Architecture

  • Core ODI concepts: The ELT approach and how it differs from traditional ETL.
  • Key components: Repositories, Agents, Topology, and Security frameworks.
  • Overview of installation procedures and environment setup.

ODI Studio and Development Tools

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

Creating Mappings and Interfaces

  • Building mappings using the graphical interface and native ODI components.
  • Incorporating procedures, variables, and packages within mappings.
  • Implementing error handling and data validation strategies.

Knowledge Modules and ELT Execution

  • Comprehending Knowledge Modules (KMs) and their various categories.
  • Selecting and customizing KMs to suit different target environments.
  • Addressing performance factors and push-down optimization techniques.

Topology, Security, and Connectivity

  • Configuring physical and logical schemas along with data servers.
  • Agent types, configuration options, and fundamentals of high availability.
  • Establishing security protocols: user management, profiles, and repository protection.

Scheduling, Deployment, and Operations

  • Packaging and deploying scenarios for production.
  • Defining scheduling strategies and integrating with external schedulers.
  • Monitoring job execution and troubleshooting using the Operator and Logs.

Advanced Techniques and Integration Patterns

  • Implementing CDC patterns, incremental loading, and change data capture methods.
  • Connecting with Big Data sources and Hadoop ecosystems.
  • Applying best practices for creating modular and maintainable integration projects.

Practical Labs and Real-World Case Studies

  • End-to-end lab: Designing, implementing, and deploying a complete ODI scenario.
  • Performance tuning lab: Analyzing and optimizing slow-running mappings.
  • Case study analysis: Reviewing architectural decisions and key takeaways.

Conclusion and Future Steps

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

Requirements

  • A solid grasp of relational database principles.
  • Proficiency in SQL.
  • Basic familiarity with ETL or data integration concepts.

Target Audience

  • ETL and data integration developers.
  • Data architects and engineers.
  • DBAs and middleware engineers tasked with delivering integration solutions.
 35 Hours

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