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Course Outline
Introduction to ODI Fundamentals and Architecture
- Core ODI concepts: The ELT methodology and its distinctions from traditional ETL
- Key architectural elements: Repositories, Agents, Topology, and Security frameworks
- Overview of installation procedures and environment configuration
ODI Studio Interface and Development Tools
- Navigating ODI Studio: Utilizing Designer, Topology, Operator, and Security panels
- Managing Projects, Models, and Datastores
- Working effectively with reverse-engineered metadata
Designing Data Mappings and Interfaces
- Building mappings using the graphical interface and native ODI components
- Integrating procedures, variables, and packages within mapping workflows
- Strategies for error handling and ensuring data validity
Knowledge Modules and ELT Execution Strategies
- Exploring Knowledge Modules (KMs) and their various categories
- Selecting and customizing KMs for diverse target platforms
- Performance optimization techniques, including push-down logic
Topology, Security, and Connectivity Configuration
- Setting up physical and logical schemas, along with data servers
- Configuring Agent types, settings, and foundational high-availability setups
- Establishing security protocols: user management, profiles, and repository safeguards
Scheduling, Deployment, and Operational Oversight
- Package creation and scenario deployment procedures
- Scheduling methodologies and integration with external scheduler systems
- Job monitoring and issue resolution using Operator and Log tools
Advanced Techniques and Integration Patterns
- Implementing CDC patterns, incremental loads, and change data capture strategies
- Connecting with Big Data sources and Hadoop-based ecosystems
- Best practices for creating modular, sustainable integration projects
Practical Labs and Real-World Case Studies
- Comprehensive lab: Designing, building, and deploying a complete ODI scenario
- Performance lab: Diagnosing and optimizing inefficient mappings
- Case study analysis: Examining architectural choices and key takeaways
Course Summary and Future Directions
- Recap of essential ODI concepts and integration design best practices
- Discussion on production deployment strategies and advanced optimization methods
- Identifying further learning pathways and professional certification options
Requirements
- A solid grasp of relational database principles
- Practical proficiency in SQL
- Familiarity with ETL methodologies or broader data integration concepts
Target Audience
- ETL and Data Integration Developers
- Data Architects and Engineers
- DBAs and Middleware Engineers tasked with integration solutions
35 Hours
Testimonials (3)
good explanation on each points and provide assignment for practices.
Piseth Ben - ACLEDA Bank Plc.
Course - Oracle Database 19c: SQL Tuning Workshop
presentation skills, prompt answers to all questions
Oana - OPEN COURSE
Course - Oracle SQL LP - Fundamentals
The exercises and "tests" that we performed
Paola Maccali
Course - Oracle SQL for beginners
Machine Translated