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.

   
   
2. • 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.