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Oracle Data Integrator: Administration and Development

Oracle Data Integrator: Administration and Development

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These set teach you everything you need to know to become an Oracle  Certified Professional.

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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 a 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.

Learn to:

Define Physical and Logical Architecture
Create and reverse-engineer models
Manage Projects
Define Simple Integration Processes

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

Oracle Data Integrator
Architecture Overview
What Is Oracle Data Integrator?
The Oracle Data Integrator Architecture
Graphical Modules
Run-Time Components
Metadata Navigator

Topology Concepts
Overview of the Topology
What Is the Topology?
Data Servers and Physical Schemas
What Is a Data Server?
Important Note
What Is a Physical Schema?
Properties of Physical Schemas
The Physical Architecture in Oracle Data Integrator

Connecting to Your Data
Topology Manager
What Is the Topology?
What Topology Manager Contains
The Physical Architecture View
Data Servers and Physical Schemas
Prerequisites for Connecting to a Server
Creating a Data Server
Some Examples of Drivers and URLs

Defining the Logical Architecture
Topology Manager
Overview of Topology Manager
Logical Architecture/Context Views
Defining Contexts
Defining a Context
Declaring Logical Schemas and Agents
Creating a Logical Schema
Linking the Logical and Physical Architecture

Setting Up a New Project
What Is a Project?
Overview of Oracle Data Integrator Projects
What Does a Project Represent?
Creating a New Project
What Is a Folder?
What Is a Knowledge Module?
Exporting and Importing

Releasing Projects
What Is a Scenario?
Properties of Scenarios
Managing Scenarios
Generating a Scenario
Generation Versus Regeneration
Executing a Scenario from the GUI
Executing a Scenario from a Project
Preparing Scenarios for Deployment

Oracle Data Integrator Model Concepts
What Is a Model?
The Relational Paradigm
Relational Model Support in Oracle Data Integrator
Additional Metadata in Oracle Data Integrator
What Is Reverse-Engineering?
Methods for DBMS Reverse-Engineering
Standard Versus Customized Reverse-Engineering

Creating and Reverse-Engineering Models
What Is a Model?
What Is Reverse-Engineering?
Methods for DBMS Reverse-Engineering
How to Create a Model by Reverse-Engineering
How to Start the Reverse-Engineering Process
Selective Reverse-Engineering

Fleshing Out Data Models
Organizing Models
What Is a Model Folder?
Creating a Model Folder
Organizing Datastores into Sub-Models
Setting Up Automatic Distribution
Creating a Datastore in a Model
Adding Columns to a Datastore
Constraints in Oracle Data Integrator

Enforcing Data Quality with Oracle Data Integrator
Why Data Quality
When to Enforce Data Quality
Data Quality in the Source Applications
Data Quality Control in the Integration Process
Data Quality in the Target Applications
Business Rules for Data Quality
From Business Rules to Constraints
Overview of the Data Quality System

Exploring and Auditing Your Data
Exploring Your Data
Displaying the Contents of a Datastore
Viewing the Distribution of Values
Analyzing the Contents of a Datastore
Constructing Business Rules
Defining Business Rules in Oracle Data Integrator
Deducing Constraints from Data Analysis
Auditing Data Quality

Building an Active Integration Hub
The Active Integration Hub
What Is an AIH?
The Active Integration Hub
How to Create an AIH
Creating and Naming the New Diagram
How to Design the Diagram
Implementing the AIH
Merging Data and Events into the AIH

Interface Design: One-to-one Interfaces
Creating a One-to-One Interface
Creating and Naming a New Interface
Defining the Target Datastore
Defining the Source Datastore
What Is a Mapping?
Defining the Mappings
Valid Mapping Types
Saving the Interface

Interface Design 2
Multiple Sources & Joins
Multiple Source Datastores
Manually Creating a Join
Advanced Joins
Types of Joins & Setting Up a Join
Filtering Data
Filters in Oracle Data Integrator
Defining a Filter Manually

Executing and Debugging Interfaces
How to Execute an Interface
What Happens at Run Time
Monitoring Interfaces
Operator: Viewing the Log
Sessions, Steps, Tasks: The Hierarchy
Viewing Sessions and Tasks
How to Monitor Execution of an Interface
Troubleshooting a Session

Interface Design
Essential Concepts in Data Quality
What Is a Constraint?
Defining and Enforcing Data Quality
Overview of the Data Quality System
Properties of Data Quality Control
Static/Flow Control Differences
How to Enforce Data Quality for an Interface
Differences Between Control Types

Defining Simple Procedures
What Is a Procedure? & Procedure Examples
Using Procedures: Overview
How to Create a New Procedure
Creating a New Command
Arranging Steps in Order
Which Parameters Should be Set?
Valid Types of Commands
Types of Options

Package Design 1
What Is a Package?
How to Create a Package
Package Diagram Toolbar
How to Create an Interface Step
How to Create an Oracle Data Integrator Tool Step
A Simple Package
How to Sequence Package Steps
Executing a Package

Variables and Sequences
What Is a Variable?
Variable Scope
Value Persistence: Action Types
Refreshing a Variable with SQL
Binding Versus Substitution
How to Create a Variable Step
Properties of Sequences
Using Oracle Data Integrator Sequences in Mappings

User Functions
What Is a User Function?
Creating User Functions
Properties of User Functions
How to Create a User Function
Defining an Implementation
Syntax and Implementations
Using User Functions
User Functions at Design Time & Run Time

Package Design
Types of Package Steps
Basic & Advanced Step Types
How to Create a Procedure Step
Model, Sub-Model and Datastore Steps
Models, Sub-Models, and Datastore Steps
How to Create a Variable Step
Controlling the Execution Path
Controlling Execution

Interface Concepts
Business Rules for Interfaces
Where Are the Rules Defined?
Behind the Rules
How Is Oracle Data Integrator Different?
A Business Problem
Implementing the Rules
What Is the Staging Area?
Knowledge Modules 

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