Oracle Data Integrator 19c Configuration and Administration (TTOR30319)


Description
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
| Lesson Id | Title | Description |
|---|---|---|
| 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 |