Course Outline

Oracle Data Integrator 19c Configuration and Administration (TTOR30319)

Duration
3 Days
Price
1.00 ج.م.‏
Course Type
No Location
Oracle Data Integrator is a comprehensive data integration platform that covers all data integration requirements from high-volume, high-performance batch loads, to event-driven integration processes and SOA-enabled data services. Oracle Data Integrator's Extract, Load, Transform (E-LT) architecture leverages disparate RDBMS engines to process and transform the data - the approach that optimizes performance, scalability and lowers overall solution costs. Throughout this course participants will explore how to centralize data across databases, performing integration, designing ODI Mappings, and setting up ODI security. In addition, Oracle Data Integrator can interact with the various tools of the Hadoop ecosystem, allowing administrators and data scientists to farm out map-reduce operations from established relational databases to Hadoop. They can also read back into the relational world the results of complex Big Data analysis for further processing. Working in a hands-on learning environment led by our Oracle Certified expert facilitator, students will learn how to: Administer ODI resources and setup security with ODI Apply ODI Topology concepts for data integration Describe ODI Model concepts Describe architecture of Oracle Data Integrator Design ODI Mappings, Procedures, Packages, and Load Plans to perform ELT data transformations Explore, audit data, and enforce data quality with ODI Implement Changed Data Capture with ODI

Learning Objectives

This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our Oracle Certified expert facilitator, students will learn how to:

  • Administer ODI resources and setup security with ODI
  • Apply ODI Topology concepts for data integration
  • Describe ODI Model concepts
  • Describe architecture of Oracle Data Integrator
  • Design ODI Mappings, Procedures, Packages, and Load Plans to perform ELT data transformations
  • Explore, audit data, and enforce data quality with ODI
  • Implement Changed Data Capture with ODI

Course Outline

1 - Introduction to Integration and Administration
  • Oracle Data Integrator: Introduction
  • Oracle Data Integrator Repositories
2 - Administering ODI Repositories
  • Create and connect to the Master Repository
  • Export and import the Master Repository
  • Create, connect, and set a password to the Work Repository
3 - ODI Topology Concepts
  • ODI Topology: Overview
  • Data Servers and Physical Schemas
  • Defining Topology
  • Agents in Topology
  • Planning a Topology
4 - Describing the Physical and Logical Architecture
  • Topology Navigator
  • Creating Physical Architecture
  • Creating Logical Architecture
5 - Setting Up a New ODI Project
  • ODI Projects
  • Using Folders
  • Understanding Knowledge Modules
  • Exporting and Importing Objects
  • Using Markers
6 - Oracle Data Integrator Model Concepts
  • Understanding the Relational Model
  • Understanding Reverse-Engineering
  • Creating Models
7 - Organizing ODI Models and Creating ODI Datastores
  • Organizing Models
  • Creating Datastores
  • Constraints in ODI
  • Creating Keys and References
  • Creating Conditions
  • Exploring Your Data
  • Constructing Business Rules
8 - ODI Mapping Concepts
  • ODI Mappings
  • Expressions, Join, Filter, Lookup, Sets, and Others
  • Behind the Rules
  • Staging Area and Execution Location
  • Understanding Knowledge Modules
  • Mappings: Overview
9 - Designing Mappings
  • Multiple Sources and Joins
  • Filtering Data
  • Overview of the Flow in ODI Mapping
  • Selecting a Staging Area
  • Configuring Expressions
  • Execution Location
  • Selecting a Knowledge Module
10 - Mappings: Monitoring and Troubleshooting
  • Monitoring Mappings
  • Working with Errors
11 - Designing Mappings: Advanced Topics 1
  • Working with Business Rules
  • Using Variables
  • Datasets and Sets
  • Using Sequences
12 - Designing Mappings: Advanced Topics 2
  • Partitioning
  • Configuring Reusable Mappings
  • Using User Functions
  • Substitution Methods
  • Modifying Knowledge Modules
13 - Using ODI Procedures
  • Procedures: Overview
  • Creating a Blank Procedure
  • Adding Commands
  • Adding Options
  • Running a Procedure
14 - Using ODI Packages
  • Packages: Overview
  • Executing a Package
  • Review of Package Steps
  • Model, Submodel, and Datastore Steps
  • Variable Steps
  • Controlling the Execution Path
15 - Step-by-Step Debugger
  • Starting a Debug Session
  • New Functions
  • Menu Bar Icons
16 - Managing ODI Scenarios
  • Scenarios
  • Managing Scenarios
  • Preparing for Deployment
17 - Using Load Plans
  • What are load plans?
  • Load plan editor
  • Load plan step sequence
  • Defining restart behavior
18 - Enforcing Data Quality with ODI
  • Data Quality
  • Business Rules for Data Quality
  • Enforcing Data Quality with ODI
19 - Working with Changed Data Capture
  • CDC with ODI
  • CDC implementations with ODI
  • CDC implementation techniques
  • Journalizing
  • Results of CDC
20 - Advanced ODI Administration
  • Setting Up ODI Security
  • Managing ODI Reports
  • ODI Integration with Java

Target Audience

This intermediate-level hands-on course is geared for experienced Administrators, Analysts, Architects, Data Scientists, Database Administrators and Implementers

Upcoming Class Dates and Times
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