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ODI TRAINING


Oracle Data Integrator: Administration and Development

What you will learn:In this course you will get an overview of the Active Integration Platform Architecture, and a complete-walk through of the steps required to set up an Oracle Data Integrator topology. You will learn how to use Oracle Data Integrator Topology Manager to define these context and logical schema objects according to current best practices. You will learn how to use manage projects in Oracle Data Integrator to develop interfaces and other objects. Oracle Data Integrator has an advanced metadata system, which can store many types of information about your data, including constraints and Slowly-Changing Dimension information. You will also learn about the types of metadata, and how to retrieve it automatically from your database.
Next, you will learn how to enrich your Oracle Data Integrator data models with more metadata that cannot be determined automatically and how to build an Active Integration Hub by using some advanced optional features. You will learn how to create an integration process, using Oracle Data Integrator packages. This course takes you through some of the more advanced features and uses of Oracle Data Integrator interfaces. You will also learn how to use Operator to stop, start and track the execution of Oracle Data Integrator sessions. Service-oriented architecture (SOA) integration with Oracle Data Integrator and Open Tools in Oracle Data Integrator are also covered in this course.Learn to:
  • Define Physical and Logical Architecture
  • Create and reverse-engineer models
  • Manage Projects
  • Define Simple Integration Processes
  • Create and use Web Services in Oracle Data Integrator


Course Objectives:

  • Overview of the architecture of the complete Oracle Data Integrator system
  • Define the Information System architecture
  • Get started with projects in Oracle Data Integrator and release your work for deployment
  • An overview of models, reverse-engineering model metadata from your database, and how and why to flesh out models with missing metadata
  • Manage metadata in Oracle Data Integrator: models and data quality
  • Create simple interfaces and add multiple sources to an interface
  • Launch a session to run an interface
  • Enforce data quality constraints in an interface
  • Manage packages
  • Add more advanced integration components
  • Customize data flow and get the best performance out of your system
  • An overview of sessions, use Operator to monitor, stop and start sessions, and basic troubleshooting
 
Course Topics
Introduction
Identifying the Course Units
What is Oracle Data Integrator?
Why Oracle Data Integrator?
Overview of ODI 10g Architecture
Overview of ODI 10g Components
About Graphical Modules  
Types of ODI Agents  
Overview of Oracle Data Integrator Repositories  

Administering ODI Repositories and Agents
Administrating the ODI Repositories
Creating Repository Storage Spaces  
Creating and Connecting to the Master Repository  
Creating and Connecting to the WorkRepository  
Managing ODI Agents  
Creating a Physical Agent  
Launching a Listener, Scheduler and Web Agent  
Example of Load Balancing

ODI Topology Concepts
Overview of ODI Topology
About Data Servers and Physical Schemas
Defining the Physical Architecture
Defining the Logical Architecture
Mapping Logical and Physical Resources
Defining Agents
Defining a Topology
Planning the Topology  

Describing the Physical and Logical Architecture

Overview of Topology Manager
Creating Physical Architecture
Creating a Data Server  
Testing a Data Server Connection  
Creating a Physical Schema  
Creating Logical Architecture
Overview of Logical Architecture and Context Views
Linking the Logical and Physical Architecture

Setting Up a New ODI Project
Overview of ODI Projects
Creating a New Project
Using Folders
Organizing Projects and Folders
Understanding Knowledge Modules
Exchanging ODI Objects
Exporting and Importing Objects
Using Markers

Oracle Data Integrator Model Concepts
What is a Model?
Understanding Metadata in ODI
Understanding Reverse Engineering
Creating Models
Organizing Models
Creating Datastores
Using Constraints in ODI
Creating Keys and References

Organizing ODI Models and Creating Datastores 
What is an Interface?
Business Rules for Interfaces
What is a Mapping?
What is a Join?
What is a Filter?
What is a Constraint?
What is a Staging Area?
Creating a Basic Interface

ODI Interface Concepts
What is an Interface?
Business Rules for Interfaces
What is a Mapping, Filter, Join?
Overview of Integration Process
What is a Staging Area?
About Execution Location
Using Knowledge Modules (KM) with ODI Interface
Creating a Basic Interface

Designing Interfaces
Designing an Interface
Multiple Source Datastores
Creating Joins
Filtering data
Disabling Transformations
Overview of the Flow
Specifying the Staging Area
Selecting Knowledge Modules

Interfaces: Monitoring and Debugging
Monitoring Interfaces
Using Operator  
Viewing Sessions and Tasks  
How to Monitor Execution of an Interface  
How to Troubleshoot a Session  
Keys to Reviewing the Generated Code  
Working with Errors
Tips for Preventing Errors

Designing Interfaces: Advanced Topics
Using Business Rules in Interfaces
Overview of Business Rule Elements
Using variables
Using User Functions
Using Substitution Methods
Modifying a KM
Developing Your Own KM
Using RKM for Customized Reverse Engineering

Using ODI procedures
What is a Procedure?
Examples of Procedures
Creating Procedures
Adding Commands  
Adding Options   
Running a Procedure  
Using Operator to View Results  

Using ODI Packages
What is a package?
Creating a package
Executing a package
Creating Advanced Packages
Error handling
Controlling an Execution Path
Creating a Loop
Using the Advanced tab

Managing ODI Scenarios and Versions
What is a Scenario?
Managing Scenarios
Preparing Scenarios for Deployment
Automating Scenario Management
Scheduling the ODI Scenario
Overview of ODI version management
Using Version Browser and Version Comparison Tool
Handling concurrent changes


Enforcing Data Quality and Auditing Data with ODI
Why Data Quality?
When to Enforce Data Quality?
Data Quality in Source Applications
Data Quality Control in the Integration Process
Data Quality in the Target Applications
Enforcing Data Quality
Exploring Your Data
Auditing Data Quality

Working with Changed Data Capture
Overview of ODI version management
Techniques of Changed Data Capture
Changed Data Capture in ODI
CDC Strategies and Infrastructure
CDC Consistency
Using CDC



We provide the following
1) Soft copy materials
2) Software's
3) Free training on SQL Developer tool
4) Installation on your laptop/system
5) 1 month free support
6) Interview question bank
7) Daily Assignments
8) Complex scenarios videos for future reference
9) If you miss any class, we will arrange a special class within a week based on other batch
schedules
10) Resume Preparation
11) Interview guidance
12) Personal Care
13) Interactive Sessions

 PHONE: (+91) (0) 7799869789
 
Website:  www.odigurus.com                                                                  

Email For Training Enquiry:     ram@odigurus.com