Oracle Data Integrator Training
Oracle Data Integrator (ODI) is a comprehensive data integration tool used for managing and transforming data across different sources and targets. It’s primarily used for Extract, Transform, Load (ETL) processes and integrates data from different heterogeneous systems, such as databases, applications, and flat files.
Why should you choose Nisa For Oracle Data Integrator Training?
Nisa Trainings is the best online training platform for conducting one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. We support you even after the completion of the course and happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.
Job Assistance
If you face any problem while working on Oracle Data Integrator Course, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to assist them and to solve their problems in real-time.
The Process we follow for our Online Job Support Service:
- We receive your inquiry for Online Job
- We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re
- If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, we will only agree to provide service. And then you have to make the payment to get the service from
- We will fix the timing for Online Job Support as mutually agreed by you and our consultant.
Course Information
Oracle Data Integrator Training
Duration: 25 Hours
Timings: Weekdays (1-2 Hours per day) [OR] Weekends (2-3 Hours per day)
Training Method: Instructor Led Online One-on-One Live Interactive
Sessions.
COURSE CONTENT :
Module 1: Introduction to Oracle Data Integrator (ODI)
- Overview of ODI: Understanding the architecture of Oracle Data Integrator.
- ODI Components:
- ODI Studio (Design, Operator, and Console)
- ODI Repository (Master Repository and Work Repository)
- ODI Agents
- ODI Architecture: Physical and logical schemas, data sources, and data targets.
- ODI Process Flow: Extract, Transform, and Load (ETL) process overview.
Module 2: Getting Started with ODI Studio
- ODI Studio Interface:
- Overview of the ODI Studio workbench.
- Navigating through the different ODI components.
- Creating Projects:
- Creating and managing ODI projects.
- Defining physical and logical schemas.
- Setting Up Connections:
- Configuring data sources (databases, flat files, etc.)
- Creating connections for source and target systems.
Module 3: Defining Data Integration Components
- Knowledge Modules (KMs):
- Understanding the role of Knowledge Modules.
- Types of KMs (Load KMs, Reverse-Engineered KMs, etc.).
- Configuring KMs for different sources and targets.
- Interfaces and Mappings:
- Understanding interfaces and mappings in ODI.
- Designing data mappings between source and target.
- Using transformations, filters, and lookups in interfaces.
- Reusable Components:
- Creating reusable procedures and packages.
- Managing variables and contexts.
Module 4: Data Transformation Techniques
- Basic Data Transformation:
- Filtering, joining, and aggregating data.
- Using expressions and built-in functions.
- Advanced Data Transformation:
- Complex transformations (case statements, multiple joins).
- Scripting and custom transformations with ODI Tools.
- Data Cleansing:
- Removing duplicates.
- Handling missing or invalid data.
Module 5: Data Loading and Extraction
- Data Extraction Techniques:
- Extracting data from different sources (databases, flat files, web services).
- Data Loading Techniques:
- Full load vs. incremental load.
- Loading data into target databases.
- Managing data staging areas.
- Performance Tuning:
- Optimizing load and extraction performance.
- Parallel processing and partitioning.
Module 6: ODI Procedures and Packages
- ODI Procedures:
- Creating ODI procedures for reusable data processing tasks.
- Managing execution flow within procedures.
- ODI Packages:
- Designing complex data flows and managing workflows.
- Using packages to automate processes.
Module 7: Data Integration Workflow Management
- Scheduling and Automating Jobs:
- Scheduling jobs using ODI Scheduler.
- Automating processes and setting up recurring tasks.
- Error Handling and Logging:
- Implementing error handling strategies.
- Using ODI logs for monitoring job executions.
- Real-Time Data Integration:
- Introduction to real-time data integration concepts.
- Working with Oracle GoldenGate and other real-time sources.
Module 8: Managing ODI Repositories
- Master and Work Repositories:
- Understanding the role of repositories in ODI.
- Creating and managing repositories.
- Versioning:
- Managing project versions.
- Deploying projects across environments.
- Security Management:
- Managing user roles and privileges.
- Securing sensitive data.
Module 9: Performance Tuning and Optimization
- Optimization Techniques:
- Identifying performance bottlenecks.
- Tuning ODI interfaces for performance improvement.
- Memory and resource management.
- Parallel Execution:
- Parallel execution of jobs for better performance.
- Configuring partitioning in ODI for high-volume data loads.
Module 10: ODI Advanced Features
- Big Data Integration:
- Introduction to integrating with big data sources (Hadoop, NoSQL databases).
- Managing large volumes of data using ODI.
- Cloud Integration:
- Integrating with cloud platforms such as Oracle Cloud, AWS, and Azure.
- Data Governance and Data Quality:
- Integrating data quality checks within ETL workflows.
- Ensuring governance in data pipelines.