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Schulungsübersicht
Introduction to ODI and Architecture
- ODI concepts: ELT approach, differences from traditional ETL
- Core components: Repositories, Agents, Topology, and Security
- Installation overview and environment layout
ODI Studio and Development Components
- Navigating ODI Studio: Designer, Topology, Operator, and Security panels
- Projects, Models, and Datastores
- Working with reverse-engineered metadata
Designing Mappings and Interfaces
- Creating mappings with graphical interface and ODI components
- Using procedures, variables, and packages in mappings
- Error handling and data validation strategies
Knowledge Modules and ELT Execution
- Understanding Knowledge Modules (KMs) and their categories
- Selecting and customizing KMs for different 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 basics
- Security setup: users, profiles, and repository protection
Scheduling, Deployment, and Operational Management
- Packaging and deploying scenarios
- Scheduling strategies and integrating with external schedulers
- Monitoring jobs and troubleshooting with 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 lessons learned
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
Voraussetzungen
- An understanding of relational database concepts
- Experience with SQL
- Familiarity with ETL or data integration concepts
Audience
- ETL/Data integration developers
- Data architects and engineers
- DBA and middleware engineers responsible for integration solutions
35 Stunden
Erfahrungsberichte (3)
Große Kommunikation, Łukasz hat alles auf eine einfache und verständliche Weise erklärt
Tomasz Wojciechowski - GP Strategies Poland sp. z o.o.
Kurs - ORACLE SQL Fundamentals
Maschinelle Übersetzung
Der Trainer war sehr hilfreich, der Rhythmus des Trainings war wirklich gut und die Übungen waren nicht zu schwer, aber auch nicht zu leicht. Sobald ich feststeckte, half er mir ausgezeichnet und stellte sicher, dass ich alles verstand.
Jade Stappaerts - KULeuven
Kurs - Oracle SQL Language
Maschinelle Übersetzung
die Übungen
Amna AlAli - Federal Demographic Council
Kurs - Oracle SQL for beginners
Maschinelle Übersetzung
