ODI 11g Fundamentals: Building Efficient Data Integration Pipelines
Master the core concepts of ODI 11g to design, configure, and manage high-performance data transformation and E-LT processes through step-by-step written guides.
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このコースについて
In today's data-driven landscape, moving and transforming massive volumes of data efficiently is a critical skill for any data professional. This course provides a clear, structured pathway to mastering Data Integrator (ODI) 11g, the powerful E-LT tool designed for high-performance data integration.
You will transition from understanding basic data concepts to designing, executing, and managing complex data pipelines. By studying core architectures and practical configuration steps, you will gain the confidence to build and optimize data flows across diverse database platforms.
What you'll learn:
- Understand the foundational architecture of ODI 11g, including repositories, agents, and the logical-to-physical mapping.
- Configure the ODI Topology to connect disparate data sources and target environments seamlessly.
- Design efficient E-LT interfaces, data models, and mappings to transform data directly within database engines.
- Apply Knowledge Modules (KMs) to customize and optimize data loading, integration, and check strategies.
- Build reusable procedures, variables, and packages to automate complex data workflows.
- Integrate modern data flows, including basic REST API integration concepts and cloud database target patterns.
The course starts with essential data integration terminology and architecture definitions before guiding you through step-by-step written tutorials on topology setup, interface design, and workflow orchestration. You will read detailed explanations of real-world scenarios and practice your skills through structured written exercises.
This course is designed for beginner data engineers, database administrators, and business intelligence professionals who want to learn ODI 11g from scratch. No prior data integration experience is required.
Start your journey into high-performance data engineering today.