Szkolenia IT / Oracle / Java and Middleware

D82167GC30 Oracle Data Integrator 12c: Integration and Administration Ed 3

Czas trwania:

5 dni / 40 godzin

Typ szkolenia:

TRADITIONAL Tradycyjne
Cena netto: 8 890,00 zł
OracleTraningOnDemand Oracle | Training On Demand
Cena netto: 7 680,00 zł
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Szkolenie autoryzowane

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Informacje o szkoleniu
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.

Benefits to You
Taking this course will teach you how to improve performance and reduce integration costs across your organization's heterogeneous systems. You'll be able to centralize data across databases using your new skills to perform data integration, design ODI Mappings, and set up ODI security. In addition, Oracle Data Integrator can interact with the various tools of the Hadoop ecosystem (such as Hive, Hbase, HDFS, Oozie, etc), 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.

Implement High-Performance Movement and Transformation
Expert Oracle University instructors will teach you how to use Oracle Data Integrator (ODI) 12c to implement high-performance movement and transformation of data among various platforms. This course covers using ODI graphical user interfaces that enable users to access different ODI components and resources that form ODI infrastructure.

ODI Repositories
Using the graphical interfaces, you'll develop the knowledge to create and manage ODI repositories, which store configuration information about the IT infrastructure, the metadata for all applications, projects, models and other ODI artifacts.

ODI Topology, Models, Mappings, and Other Objects
Furthermore, you'll develop the ability to create the ODI Topology, organize ODI models and design ODI Mappings, procedures, packages and other objects. This course is based on Oracle Data Integrator 12c (12.2.1.3).

Please Note
The latest release of Oracle Data Integrator supports storing ODI artifacts into source code management systems (such as Subversion.) This course teaches you how to integrate ODI with Subversion.

Uczestnicy
Database Administrators
Business Analysts
Technical Consultant
Data Modelers
SOA Architect
Data Scientist
Data Warehouse Administrator
Wymagania wstępne
Suggested Prerequisite
  • Basic knowledge of ELT data processing
Czego się nauczysz
Learn How To:
  • Use Oracle Data Integrator to perform transformation of data among various platforms.
  • Design ODI mappings, procedures, and packages to perform ELT data transformations.
  • Administer ODI resources and set up security with ODI.
  • Perform data integration and transformation among various platforms.
  • Use the ODI graphical interface to define procedures, packages, and ELT jobs.
  • Set up and maintain a secure, multi-user ODI environment.
  • Implement changed data capture with ODI.
  • Use ODI Web services and perform integration of ODI with SOA.
Zagadnienia poruszane podczas szkolenia
Course Objectives
  • Administer ODI resources and setup security with ODI
  • Apply ODI Topology concepts for data integration
  • Describe ODI Model concepts
  • Describe the architecture of Oracle Data Integrator 12c
  • 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
  • Integrate ODI with Version Control Systems (Subversion)
  • Extend ODI to include the Big Data Hadoop ecosystem

CourseTopics
Introduction

  • Overview of ODI Components
  • Overview of Oracle Data Integrator Repositories
  • Identifying the Course Units
  • Types of ODI Agents
  • Overview of ODI Architecture
  • About Graphical Modules
  • Why Oracle Data Integrator?

Administering ODI Repositories and Agents

  • Creating a Wallet to Securely Store Credentials
  • Administrating the ODI Repositories
  • Creating Repository Storage Spaces
  • Creating and Connecting to the Work Repository
  • Managing ODI Agents
  • Creating and Connecting to the Master Repository

ODI Topology Concepts

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

Describing the Physical and Logical Architecture

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

Setting Up a New ODI Project

  • Overview of ODI Projects
  • Creating and Maintaining Folders
  • Creating and Labeling with Markers
  • Exporting and Importing Objects
  • Creating a New Project
  • Understanding Knowledge Modules
  • Exchanging ODI Objects and Sharing Global Objects
  • Organizing Projects and Folders

Oracle Data Integrator Model Concepts

  • Creating Data stores
  • Organizing Models
  • Understanding Metadata in ODI
  • What is a Model?
  • Creating Models
  • Creating Keys and References
  • Understanding Reverse Engineering
  • Configuring Constraints in ODI

Organizing ODI Models and Creating Data stores

  • What is a Filter?
  • What is a Constraint?
  • Creating a Basic Mapping
  • Business Rules for Mappings
  • What is a Mapping?
  • What is a Join?
  • What is a Staging Area?

ODI Mapping Concepts

  • Mapping with Knowledge Modules (KM)
  • Execution Location
  • Creating an Intermediate Mapping
  • What is a Staging Area?
  • What is a Mapping, a Filter, a Join?
  • What is a Mapping?
  • Overview of Integration Process
  • Business Rules for Mapping

Designing Mappings

  • Creating Joins
  • Filtering Data
  • Multiple Source Data stores
  • Designing a Mapping
  • Overview of the Flow
  • Selecting Knowledge Modules
  • Disabling Transformations
  • Specifying the Staging Area

Mapping: Monitoring and Debugging

  • How to Troubleshoot a Session
  • Tips for Preventing Errors
  • Monitoring Mappings
  • Keys to Reviewing the Generated Code
  • Working with Errors
  • Viewing Sessions and Tasks
  • How to Monitor Execution of a Mapping
  • Creating Objects with Operator

Designing Mappings: Advanced Topics 1

  • Mapping with Business Rules
  • Creating User Functions
  • Mapping Substitution Methods
  • Modifying a KM
  • Showing Variable Values in Log
  • Creating and Tracking Variables
  • Customizing Reverse Engineering Using RKM
  • Overview of Business Rule Elements

Designing Mappings: Advanced Topics 2

  • Using Substitution Methods
  • Developing Your Own Knowledge Module
  • Using User Functions
  • Reusable Mappings
  • Creating a User Function
  • Using Partitioning in a Mapping
  • Derived Select (Subselect) for Reusable Mappings

Using ODI Procedures

  • What is a Procedure?
  • Adding Commands
  • Examples of Procedures
  • Viewing Results with Operator Navigator
  • Running a Procedure
  • Adding Options
  • Creating Procedures

Using ODI Packages

  • Variable Steps
  • Controlling the Execution Path
  • Error Handling
  • Review of Package Steps
  • Executing a Package
  • What is a Package?
  • Creating Model, Submodel and Datastore Steps
  • Creating a Package

Step-by-Step Debugger

  • Menu Bar Icons
  • Screen Step Numbering
  • Control Execution Flow
  • Specifying Debug Properties
  • New Functionality
  • Starting a Session in Debug mode

Managing ODI Scenarios

  • Generating a Scenario
  • What is a Scenario?
  • Scheduling the ODI Scenario
  • Managing Schedules
  • Executing a Scenario
  • Automating Scenario Management

Using Load Plans

  • Defining the Restart Behavior
  • What Are Load Plans?
  • Load Plan Editor
  • Load Plan Steps
  • Benefits of Using Load Plans
  • Handling Failed Load Plans

Enforcing Data Quality with ODI

  • Why Data Quality? When to Enforce Data Quality?
  • Data Quality in Source Applications
  • Enabling Static or Flow Control for a Mapping
  • Data Quality Business Rules
  • Data Quality Control in the Integration Process
  • Data Quality in the Target Applications
  • Setting the Options, Selecting Which Constraints to Enforce
  • Reviewing Erroneous Records

Working with Changed Data Capture (CDC)

  • Journalizing
  • Oracle GoldenGate Integration
  • Changed Data Capture in ODI
  • Viewing Data/Changed data
  • CDC Strategies and Infrastructure
  • Why Changed Data Capture? Techniques of Changed Data Capture
  • CDC Consistency
  • Creating Change Data Capture (CDC)

Advanced ODI Administration

  • Generating Topology Reports
  • Integration of ODI with Enterprise Manager
  • Java EE Agent and Enterprise Manager Configuration with WebLogic Domain
  • Defining Password Policies
  • Creating Profiles, Creating Users, Assigning a Profile to a User, Assigning anAuthorization by Profile or User
  • Introduction to ODI Security Navigator. Security Concepts: Overview, DefiningSecurity Policies
  • Implementing External Authentication
  • Using ODI Console

Integrating ODI with Subversion

  • Configuring the Subversion Repository with ODI
  • Creating Full or Partial Tags in the Subversion Repository
  • SVN Connections
  • Performing a Branch Merge
  • Adding a Single Non-Versioned Object to SVN, Adding Multiple Non-VersionedObjects to SVN
  • ODI: VCS Integration
  • Creating a New Version for an Object. Creating Full or Partial Tags in theSubversion Repository
  • ODI: Selecting the Required VCS

Integrating Big Data with ODI

  • Emergence of Apache Hadoop. Hadoop Ecosystem
  • Big Data Concepts
  • ODI: Hadoop Integration Process
  • Big Data Knowledge Modules Matrix
  • Apache HBase, Apache Hive, Apache Pig. Apache Spark, Apache Sqoop, Apache Oozie
  • Hadoop Data Integration: Overview

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