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Course Outline
Introduction to Oracle Data Integrator (ODI) and Architecture
- ODI Concepts: Extract, Load, Transform (ELT) Approach and Differences from Traditional ETL
- Core Components: Repositories, Agents, Topology, and Security for Government Use
- Installation Overview and Environment Layout for Government Operations
ODI Studio and Development Components
- Navigating ODI Studio: Designer, Topology, Operator, and Security Panels for Efficient Development
- Projects, Models, and Datastores in Government Data Management
- Working with Reverse-Engineered Metadata for Accurate Data Representation
Designing Mappings and Interfaces
- Creating Mappings Using the Graphical Interface and ODI Components for Government Applications
- Utilizing Procedures, Variables, and Packages in Mappings for Enhanced Functionality
- Implementing Error Handling and Data Validation Strategies to Ensure Data Integrity
Knowledge Modules and ELT Execution
- Understanding Knowledge Modules (KMs) and Their Categories for Government Projects
- Selecting and Customizing KMs for Different Target Systems in Public Sector Environments
- Performance Considerations and Push-Down Optimization Techniques for Efficient Data Processing
Topology, Security, and Connectivity
- Configuring Physical and Logical Schemas and Data Servers for Government Databases
- Agent Types, Configuration, and High Availability Basics for Reliable Operations
- Security Setup: Users, Profiles, and Repository Protection to Ensure Data Security in Government Systems
Scheduling, Deployment, and Operational Management
- Packaging and Deploying Scenarios for Government Projects
- Scheduling Strategies and Integrating with External Schedulers for Efficient Workflow Management
- Monitoring Jobs and Troubleshooting with Operator and Logs to Maintain Operational Integrity
Advanced Techniques and Integration Patterns
- Change Data Capture (CDC) Patterns, Incremental Loading, and CDC Approaches for Government Datasets
- Integrating with Big Data Sources and Hadoop Ecosystems for Comprehensive Data Analysis
- Best Practices for Modular, Maintainable Integration Projects in the Public Sector
Hands-on Labs and Real-World Case Study
- End-to-End Lab: Design, Implement, and Deploy an ODI Scenario for Government Use
- Performance Tuning Lab: Analyze and Optimize a Slow Mapping to Improve Efficiency
- Case Study Walkthrough: Architecture Decisions and Lessons Learned in Government Projects
Summary and Next Steps
- Review Key ODI Concepts and Integration Design Principles for Government Applications
- Discuss Production Deployment Strategies and Optimization Techniques for Government Systems
- Explore Further Learning Paths and Certification Options to Enhance Skills in Government Data Management
Requirements
- An understanding of relational database concepts for government systems.
- Experience with SQL in a governmental context.
- Familiarity with ETL or data integration concepts for government applications.
Audience
- ETL/Data integration developers working on government projects.
- Data architects and engineers supporting government initiatives.
- DBA and middleware engineers responsible for integration solutions in government agencies.
35 Hours
