Oracle Data Integrator 12c: Integration and Administration Ed 3 Course Overview

Oracle Data Integrator 12c: Integration and Administration Ed 3 Course Overview

The Oracle Data Integrator 12c: Integration and Administration Ed 3 course is a comprehensive learning path for IT professionals and system administrators who aim to master the Oracle Data Integrator (ODI) platform. This course equips learners with the skills required to implement and manage complex data integration projects.

From understanding the core concepts of ODI topology to setting up projects and designing advanced mappings, the course covers a broad range of topics. It begins with an introduction to ODI's architecture and administration, followed by detailed instructions on Administering ODI repositories and configuring the physical and logical architecture. As learners progress, they delve into advanced subjects such as enforcing data quality, working with Changed data capture, and integrating big data.

By the end of the course, participants will have a robust understanding of how to utilize Oracle Data Integrator 12c Integration and Administration tools and techniques to streamline data integration processes effectively, ensuring data consistency and reliability across various systems within an organization.

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Course Prerequisites

To ensure a successful learning experience in the Oracle Data Integrator 12c: Integration and Administration Ed 3 course, students should meet the following minimum prerequisites:


  • Basic understanding of databases and familiarity with database concepts, including schemas and table structures.
  • Knowledge of SQL and experience writing SQL queries.
  • Familiarity with data warehousing concepts is beneficial but not mandatory.
  • Some exposure to ETL (Extract, Transform, Load) processes and tools is helpful.
  • General awareness of data integration challenges in enterprise environments.
  • Basic computer literacy and experience with navigating the Windows or Linux operating system environments.

These prerequisites are designed to provide a foundation for students to build upon as they delve into the more advanced topics covered in the course. With these skills, participants will be better equipped to grasp the concepts and practical applications of Oracle Data Integrator 12c.


Target Audience for Oracle Data Integrator 12c: Integration and Administration Ed 3

  1. The Oracle Data Integrator 12c course is tailored for IT professionals focused on data integration and administration.


    • Data Integration Specialists
  • Database Administrators
  • Data Architects
  • ETL Developers
  • Business Intelligence Professionals
  • Data Warehouse Administrators
  • Data Analysts
  • System Administrators with a focus on data solutions
  • IT Consultants specializing in data transformation and loading
  • Technical Architects
  • Solution Architects
  • Data Governance Specialists


Learning Objectives - What you will Learn in this Oracle Data Integrator 12c: Integration and Administration Ed 3?

Introduction to Learning Outcomes:

Gain in-depth knowledge of Oracle Data Integrator (ODI) 12c's architecture, tools, and techniques to build, administer, and manage data integration projects effectively.

Learning Objectives and Outcomes:

  • Understand the core concepts of ODI 12c and the principles of data integration and administration.
  • Administer ODI repositories, including the creation, management, and maintenance of these repositories.
  • Grasp ODI Topology concepts for establishing connections to data sources and targets.
  • Describe the physical and logical architecture of ODI and how they interact.
  • Set up new ODI projects and understand project components and lifecycle.
  • Learn about ODI models and how to organize data structures within ODI.
  • Create and manage ODI datastores, and organize ODI models for efficient data management.
  • Develop a thorough understanding of ODI mappings and use it to transform data.
  • Design, monitor, and troubleshoot ODI mappings for various integration scenarios.
  • Implement advanced mapping techniques, error handling, and performance tuning.
  • Utilize ODI procedures and packages to automate and orchestrate data integration tasks.
  • Manage ODI scenarios and versions for deployment and lifecycle management.
  • Configure and use ODI load plans for complex execution workflows.
  • Enforce data quality using ODI's built-in tools and techniques.
  • Implement Changed Data Capture (CDC) for efficient data synchronization.
  • Conduct advanced ODI administration tasks, including optimization and security.
  • Integrate ODI with version control systems like Subversion for collaboration and versioning.
  • Extend ODI capabilities to Big Data sources and targets, understanding specific Big Data techniques.

Technical Topic Explanation

Administering ODI repositories

Administering ODI repositories involves setting up and managing databases that store the configurations and metadata for Oracle Data Integrator. These repositories, which are central to the operation and administration of integration projects, handle mappings, transformations, and job schedules, essential for efficient data integration. The process ensures that all data integration cycles, from development to production, are managed efficiently, maintaining data integrity and optimizing performance. This administration is crucial for maintaining the overall health and effectiveness of the Oracle Data Integrator 12c environment, supporting robust data integration and ETL processes.

Oracle Data Integrator (ODI) platform

Oracle Data Integrator (ODI) is a comprehensive data integration platform that allows the efficient building, deploying, and managing of data-oriented applications. It facilitates the integration of data from various sources, transforming data into a valuable format and loading it into target systems for analysis and decision making. ODI is particularly known for its high-performance, low-impact data processing and support for heterogeneous environments. It's ideal for enterprises needing a reliable solution for complex data warehousing and business intelligence initiatives, enhancing the speed and accuracy of data integration tasks.

Data integration

Data integration involves combining data from different sources to create a unified view or dataset. This process enables organizations to analyze and utilize their data comprehensively, which is essential for informed decision-making and efficient operations. The concept applies techniques and tools to transform varying data formats into a cohesive structure. A specific tool like Oracle Data Integrator (ODI) 12c, focuses on seamlessly integrating, transforming, and loading data between disparate systems, thereby underlining its role in the optimally streamlined administration of data workflows.

ODI topology

ODI topology refers to the configuration framework within Oracle Data Integrator (ODI) that defines the infrastructure and its components, such as servers and databases, required for data integration processes. It structures the logical architecture for data integration and encompasses the physical and logical setup, ensuring efficient data movement and transformation. This topology includes agents, data servers, and repositories that carry out and manage the tasks of the integration process, vital for executing tasks defined in Oracle Data Integrator 12c Integration and Administration.

Changed data capture

Changed Data Capture (CDC) is a technique used to identify and track changes made to data in a database. It ensures that any updates, deletions, or inserts in one database are automatically transferred to another database or system. This process helps in maintaining real-time synchronization between databases, enabling efficient data warehousing, analytics, and reporting. By using CDC, businesses can have up-to-date information, enhance decision-making, and improve data consistency across various platforms, minimizing the overall resource load and avoiding bulk data transfer disruptions.

Data integration

Big data integration involves combining data from various sources to create a unified view. This process helps organizations analyze large volumes of diverse data for better decision-making. Techniques include data consolidation, data warehousing, and data virtualization. Tools like Oracle Data Integrator 12c play a crucial role, providing efficient integration services and enhancing data administration. This supports businesses in managing, transforming, and orchestrating data across different systems, ensuring that data is accurate, timely, and consistent, thus driving insights and competitive advantage.

Target Audience for Oracle Data Integrator 12c: Integration and Administration Ed 3

  1. The Oracle Data Integrator 12c course is tailored for IT professionals focused on data integration and administration.


    • Data Integration Specialists
  • Database Administrators
  • Data Architects
  • ETL Developers
  • Business Intelligence Professionals
  • Data Warehouse Administrators
  • Data Analysts
  • System Administrators with a focus on data solutions
  • IT Consultants specializing in data transformation and loading
  • Technical Architects
  • Solution Architects
  • Data Governance Specialists


Learning Objectives - What you will Learn in this Oracle Data Integrator 12c: Integration and Administration Ed 3?

Introduction to Learning Outcomes:

Gain in-depth knowledge of Oracle Data Integrator (ODI) 12c's architecture, tools, and techniques to build, administer, and manage data integration projects effectively.

Learning Objectives and Outcomes:

  • Understand the core concepts of ODI 12c and the principles of data integration and administration.
  • Administer ODI repositories, including the creation, management, and maintenance of these repositories.
  • Grasp ODI Topology concepts for establishing connections to data sources and targets.
  • Describe the physical and logical architecture of ODI and how they interact.
  • Set up new ODI projects and understand project components and lifecycle.
  • Learn about ODI models and how to organize data structures within ODI.
  • Create and manage ODI datastores, and organize ODI models for efficient data management.
  • Develop a thorough understanding of ODI mappings and use it to transform data.
  • Design, monitor, and troubleshoot ODI mappings for various integration scenarios.
  • Implement advanced mapping techniques, error handling, and performance tuning.
  • Utilize ODI procedures and packages to automate and orchestrate data integration tasks.
  • Manage ODI scenarios and versions for deployment and lifecycle management.
  • Configure and use ODI load plans for complex execution workflows.
  • Enforce data quality using ODI's built-in tools and techniques.
  • Implement Changed Data Capture (CDC) for efficient data synchronization.
  • Conduct advanced ODI administration tasks, including optimization and security.
  • Integrate ODI with version control systems like Subversion for collaboration and versioning.
  • Extend ODI capabilities to Big Data sources and targets, understanding specific Big Data techniques.