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 Duration 35 hours

Course Outline

Introduction to ODI and Architecture

  • Foundational ODI concepts: The ELT methodology and its distinctions from traditional ETL frameworks
  • Core architectural elements: Repositories, Agents, Topology, and security controls
  • Installation procedures and environment configuration standards

ODI Studio and Development Components

  • Navigating the ODI Studio interface: Designer, Topology, Operator, and security modules
  • Management of projects, data models, and datastore definitions
  • Utilizing reverse-engineered metadata for accurate schema representation

Designing Mappings and Interfaces

  • Constructing data mappings using the graphical designer and native ODI components
  • Incorporating procedures, variables, and packages into mapping logic
  • Implementing error handling mechanisms and data validation protocols

Knowledge Modules and ELT Execution

  • Analysis of Knowledge Modules (KMs) and their functional classifications
  • Selection and customization of KMs to align with specific target systems
  • Performance optimization strategies and push-down execution techniques

Topology, Security, and Connectivity

  • Configuration of physical and logical schemas and data server connections
  • Agent types, deployment configuration, and high availability fundamentals
  • Security administration: User roles, profiles, and repository access controls

Scheduling, Deployment, and Operational Management

  • Packaging workflows and deploying operational scenarios
  • Scheduling methodologies and integration with external orchestration tools
  • Job monitoring and troubleshooting via the Operator console and log analysis

Advanced Techniques and Integration Patterns

  • Change Data Capture (CDC) patterns, incremental loading, and real-time processing approaches
  • Integration strategies for Big Data sources and Hadoop-based ecosystems
  • Best practices for developing modular and maintainable integration projects for government systems

Hands-on Labs and Real-World Case Study

  • Comprehensive lab exercise: Design, implementation, and deployment of a complete ODI scenario
  • Performance tuning exercise: Analysis and optimization of inefficient data mappings
  • Case study analysis: Architectural decision-making and lessons learned from production environments

Summary and Next Steps

  • Review of core ODI concepts and integration design standards
  • Discussion of production deployment strategies and optimization best practices
  • Identification of further learning paths and relevant certification opportunities

Requirements

  • A solid understanding of relational database concepts
  • Practical experience with SQL query and manipulation
  • Familiarity with ETL or data integration methodologies

Audience

  • ETL and data integration developers
  • Data architects and engineers
  • DBAs and middleware engineers responsible for integration solutions for government agencies

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