Oracle Data Integrator 12c: Advanced Integration and Development Ed 2 Course Overview

Oracle Data Integrator 12c: Advanced Integration and Development Ed 2 Course Overview

The Oracle Data Integrator 12c: Advanced Integration and Development Ed 2 course is designed for experienced ODI developers seeking to deepen their knowledge and skills in advanced data integration and transformation. This comprehensive course covers a wide range of topics, from working with and developing Knowledge Modules to designing advanced ODI integration mappings and Managing complex files. Participants will learn how to leverage Variables, incorporate Groovy scripting for acceleration, and integrate ODI with enterprise environments and SOA. The course also emphasizes enhancing ODI security and choosing the best integration strategies, including real-time data integration and Bulk processing. With a focus on best practices, learners will be equipped with the knowledge to implement efficient and secure data integration solutions, leveraging the full capabilities of Oracle Data Integrator 12c.

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Course Prerequisites

To ensure a successful learning experience in the Oracle Data Integrator 12c: Advanced Integration and Development Ed 2 course, participants should possess the following minimum prerequisites:


  • Basic knowledge of data integration concepts and methodologies.
  • Familiarity with ETL (Extract, Transform, Load) processes and tools.
  • Experience with relational databases and SQL (Structured Query Language).
  • Understanding of data warehousing and business intelligence principles.
  • Prior experience with Oracle Data Integrator (ODI) 12c or equivalent foundational training in ODI.
  • Basic programming skills, preferably in Java, to understand and develop Knowledge Modules and use the Groovy scripting language.
  • Comfort with navigating and operating within a Windows or Linux environment, as applicable to the software installation requirements.
  • An understanding of web services and Service-Oriented Architecture (SOA) will be beneficial.
  • Willingness to engage in hands-on practice and apply the concepts learned in the training.

These prerequisites are designed to ensure that learners are adequately prepared to grasp advanced concepts and fully benefit from the course content. If you meet these criteria, you are well-positioned to embark on the Oracle Data Integrator 12c: Advanced Integration and Development Ed 2 course and enhance your skills in data integration and development.


Target Audience for Oracle Data Integrator 12c: Advanced Integration and Development Ed 2

The Oracle Data Integrator 12c: Advanced Integration and Development Ed 2 course is designed for professionals seeking expertise in data integration and development using Oracle ODI.


  • Data Integration Specialists
  • ETL Developers
  • Database Administrators (DBAs)
  • Business Intelligence (BI) Professionals
  • Data Warehouse Architects
  • Data Analysts
  • IT Consultants who specialize in data transformation and loading
  • Oracle Developers looking to expand skill sets
  • Software Engineers working on data migration projects
  • System Integrators working with Oracle databases and middleware
  • Technical Architects designing data integration solutions
  • Middleware Administrators managing data services and SOA environments


Learning Objectives - What you will Learn in this Oracle Data Integrator 12c: Advanced Integration and Development Ed 2?

  1. Introduction: Expand your Oracle Data Integrator (ODI) expertise with advanced integration and development strategies, mastering Knowledge Modules, complex mappings, and enterprise solutions.

  2. Learning Objectives and Outcomes:

  • Understand the architecture and full capabilities of Oracle Data Integrator (ODI).
  • Design and develop advanced Integration Knowledge Modules (KMs) using best practices.
  • Implement code templates and Java-based extensions for custom KMs.
  • Apply advanced techniques for designing integration mappings to maintain data integrity and optimize performance.
  • Utilize partitioning and reusable mappings to enhance data processing in complex scenarios.
  • Manipulate and track variables within ODI to dynamically control data flows.
  • Automate and accelerate ODI development tasks using Groovy scripting.
  • Configure and handle complex file formats for data integration projects.
  • Integrate ODI with enterprise environments, service-oriented architectures (SOA), and web services.
  • Enhance ODI security by implementing robust authentication and authorization practices.
  • Select and apply the most effective data integration strategies, including bulk processing and real-time integration with tools like Oracle GoldenGate.
  • Develop a comprehensive understanding of working with cubes and dimensions within ODI for analytical purposes.

Technical Topic Explanation

Managing complex files

Managing complex files involves organizing, securing, and maintaining large sets of data files with intricate structures and relationships. It often requires robust software and strategic methodologies to handle the sheer volume and complexity effectively. The process includes categorizing data, ensuring consistent data format, setting up reliable access controls, and implementing efficient backup solutions. Mastery in managing complex files can enhance system performance, improve data retrieval speeds, and secure data against loss or corruption, making it crucial for organizations dealing with extensive databases or numerous file types.

Variables

Variables in programming are used to store information that can vary or change during the execution of a program. Like a container, a variable holds a piece of data, such as a number, a text, or a list, which can be modified, replaced, or retrieved as needed. Each variable is assigned a unique name to identify it, making it possible to access and manage its contents efficiently. The use of variables is essential in programming for handling data dynamically, enabling developers to write flexible and functional code.

Knowledge Modules

Knowledge Modules in Oracle Data Integrator (ODI) are reusable components that define how data should be loaded, transformed, and checked within the ODI environment. They encapsulate data integration best practices and operations, facilitating standardized processes and efficient data management. By leveraging these modules, users can execute complex transformation logic across various systems efficiently, without needing to write extensive code. This approach not only accelerates the data integration projects but also enhances consistency and maintainability, making it essential for professionals aiming for Oracle Data Integrator certification and seeking to enhance their skills in oracle ODI training.

ODI integration mappings

Oracle Data Integrator (ODI) integration mappings involve creating workflows to efficiently convert and transfer data between different systems. Using ODI, professionals can establish procedures and rules that help cleanse, transform, and load data from various sources to targeted databases or applications. This process optimizes data consistency, improves reporting accuracy, and supports effective data management strategies. ODI is particularly renowned for its performance and flexibility, making it a prominent tool in business intelligence and data warehousing. Completing Oracle Data Integrator training and obtaining Oracle Data Integrator certification can significantly enhance one's ability to effectively use this powerful integration tool.

Groovy scripting

Groovy scripting is a dynamic language for the Java platform that streamlines application development with its simplified syntax, making it easier to write, read, and maintain code. Groovy integrates seamlessly with existing Java classes and libraries, providing powerful features such as scripting capabilities, Domain-Specific Language authoring, compact syntax, and easy learning curve. It is commonly used in projects requiring quick and efficient scripting solutions, including automation scripts, testing frameworks, and development of web applications. Groovy's flexibility and Java interoperability make it a preferred choice for enhancing productivity and application performance.

ODI security

ODI security, within Oracle Data Integrator, involves protecting sensitive data and managing who has access to different parts of the data integration process. This is accomplished through authentication, which verifies user identities, and authorization, which controls what data and functions users can access based on their roles. Implementing strong security measures in ODI ensures that data transitions safely between systems, maintaining integrity and confidentiality. Ensuring robust security in ODI is crucial for protecting against unauthorized access and data breaches, thus supporting compliance with data protection regulations.

Bulk processing

Bulk processing refers to the handling and processing of large volumes of data simultaneously. It is common in scenarios where large data sets are collected and need to be processed efficiently, without real-time interaction. This technique is crucial in data management systems, particularly in areas involving extensive databases or when performing complex computations and analyses. Bulk processing helps in optimizing performance, reducing processing time, and enhancing data throughput, making it essential in data-intensive fields such as financial analysis, large-scale customer data handling, and batch update operations.

Target Audience for Oracle Data Integrator 12c: Advanced Integration and Development Ed 2

The Oracle Data Integrator 12c: Advanced Integration and Development Ed 2 course is designed for professionals seeking expertise in data integration and development using Oracle ODI.


  • Data Integration Specialists
  • ETL Developers
  • Database Administrators (DBAs)
  • Business Intelligence (BI) Professionals
  • Data Warehouse Architects
  • Data Analysts
  • IT Consultants who specialize in data transformation and loading
  • Oracle Developers looking to expand skill sets
  • Software Engineers working on data migration projects
  • System Integrators working with Oracle databases and middleware
  • Technical Architects designing data integration solutions
  • Middleware Administrators managing data services and SOA environments


Learning Objectives - What you will Learn in this Oracle Data Integrator 12c: Advanced Integration and Development Ed 2?

  1. Introduction: Expand your Oracle Data Integrator (ODI) expertise with advanced integration and development strategies, mastering Knowledge Modules, complex mappings, and enterprise solutions.

  2. Learning Objectives and Outcomes:

  • Understand the architecture and full capabilities of Oracle Data Integrator (ODI).
  • Design and develop advanced Integration Knowledge Modules (KMs) using best practices.
  • Implement code templates and Java-based extensions for custom KMs.
  • Apply advanced techniques for designing integration mappings to maintain data integrity and optimize performance.
  • Utilize partitioning and reusable mappings to enhance data processing in complex scenarios.
  • Manipulate and track variables within ODI to dynamically control data flows.
  • Automate and accelerate ODI development tasks using Groovy scripting.
  • Configure and handle complex file formats for data integration projects.
  • Integrate ODI with enterprise environments, service-oriented architectures (SOA), and web services.
  • Enhance ODI security by implementing robust authentication and authorization practices.
  • Select and apply the most effective data integration strategies, including bulk processing and real-time integration with tools like Oracle GoldenGate.
  • Develop a comprehensive understanding of working with cubes and dimensions within ODI for analytical purposes.