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Oracle Fusion Data Intelligence FDI
FDI Course Content
Oracle Data Integrator ODI
1
Introduction and Core Concepts
· Introduction to ODI 12c:
Understanding the role of ODI in data warehousing and data integration.
· ODI Architecture:
Exploring the different components of ODI (e.g., repositories, agents, Studio) and their interactions.
· ODI Repositories:
Learning how to create, manage, and administer master and work repositories.
· Topology Setup:
Defining the physical and logical architecture of ODI, including data servers, schemas, and contexts.
· ODI Studio:
Familiarizing with the ODI Studio interface and its different navigators (Topology, Designer, Operator).
2
Modeling and Mapping
· ODI Models:
Defining data structures (models and datastores) and organizing them within ODI.
· Creating Mappings:
Designing mappings to transform data from source to target, utilizing various transformations and knowledge modules.
· Knowledge Modules (KMs):
Understanding the role of KMs in data transformation and using them within mappings.
· Advanced Mapping Techniques:
Implementing advanced mapping features like joins, lookups, aggregations, and set operations.
· Error Handling and Debugging:
Monitoring and troubleshooting mappings using the Operator navigator and the debugger.
3
Procedures, Packages, and Load Plans
· ODI Procedures:
Creating and using procedures to automate tasks and orchestrate data integration processes.
· ODI Packages:
Building packages to group and sequence multiple procedures and other objects for complex workflows.
· Load Plans:
Designing and configuring load plans to manage the execution of complex integration scenarios.
4
Advanced Features
· Change Data Capture (CDC): Implementing CDC to track and integrate only changed data.
· Data Quality: Enforcing data quality rules and auditing data using ODI's built-in features.
· Scenarios and Version Management: Creating and managing scenarios for deployment and version control.
· ODI Integration with Subversion: Using Subversion for version control of ODI objects.
· Integration with Big Data: Integrating ODI with big data technologies like Hadoop.
· Integration with SOA and Web Services: Exposing ODI scenarios as web services and integrating ODI with SOA.
· Groovy Scripting: Using Groovy for accelerating development and automating ODI tasks.
· ODI Security: Implementing user authentication and authorization for secure access to ODI resources.
5
Real-World Scenarios and Best Practices
· Practical Exercises: Hands-on exercises and projects to reinforce learning and build practical skills.
· Real-life ODI implementation projects: Understanding the ODI lifecycle from real-world implementations.
· Best Practices: Learning best practices for designing, developing, and administering ODI solutions.
Oracle Application Express APEX
1. Introduction to Oracle APEX:
2. Building Database Applications:
3. Advanced APEX Features:
4. Building Complex Applications:
5. Additional Topics:
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