ADVANCE YOUR CAREER. TRANSFORM YOUR LIFE WITH IN-DEMAND SKILLS FOR AN ON.DEMAND WORLD. EARN MINIMUM £55 TO £60K WITH YOUR ORACLE DATA INTEGRATOR SKILLS.
EXCELLENT INTERACTIVE SELF-TEACH TRAINING COURSE . IDEAL ON THE JOB LEARNING FOR ORACLE DATA INTEGRATOR, ORACLE ANALYTIC APPLICATIONS, DATA WAREHOUSING, BI AND PERFORMANCE MANAGEMENT CONSULTANTS AND DEVELOPERS; AS WELL AS THOSE WHO WORK WITH OTHER ETL AND WAREHOUSE TOOLS OR WISH TO UPSKILL TO AN ORACLE DATA INTEGRATOR 11g & 12c ENVIRONMENT.
PERFECT INTERACTIVE TRAINING MATERIAL WITH REAL-LIFE BASED SCENARIOS. PACKED WITH TASKS, ACTIVITIES AND EXERCISES.
ORACLE DATA INTEGRATOR 11g & 12c: ELT/ETL DEVELOPMENT SELF-STUDY CBT
How This Course Is Organised
The Oracle Data Integrator 11g and 12c : E-L-T/ETL Development Fundamentals course provides step-by-step instructions on how to perform a variety of Data Integration and E-L-T (Extract, Load and Transformation) tasks using Data Integrator 11g and 12c for activities based on real-life work scenarios.
Using the graphical interfaces, you create and manage ODI repositories, which stores configuration information about the IT infrastructure, the metadata for all applications, projects, models and other ODI artifacts. You also learn how to create the ODI Topology, organise ODI models and design ODI interfaces and 12c Mappings, procedures, packages and other objects.
You will learn how to use Oracle Data Integrator Topology Manager to define 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. You will also learn about the types of metadata, and how to retrieve it automatically from your database.
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 and the new Mappings Editor.
The WebLearning hands-on series reduces the time spent investigating what steps are required to perform a task. Because the step-by-step solutions are built for practical real world situations, not only is knowledge gained through valuable hands-on experience, but also the solutions presented may then be used as the foundation for production implementation, dramatically reducing time to deployment.
Audience:
Data Integartion and ETL Developers
Business Intelligence Developer
Data Warehouse Administrator
Data Warehouse Analyst
Data Warehouse Developer
Technical Administrator
Course Objectives:
Understand the ETL Development Lifecycle
Understand basic Data warehousing Concepts
Understand basic Dimension Modelling
Understand Data Quality Issues in ETL Process
Understand the ODI architecture and Components
Connect to ODI Master and Work Repositories
Define Data Sources
Define Physical and Logical Architecture
Create and reverse-engineer models
Manage Projects
Define Integration Processes
Work with projects in Oracle Data Integrator and release your work for deployment
Understand models, reverse-engineering model metadata from your database
Manage metadata in Oracle Data Integrator: models and data quality
Create simple and complex interfaces and add multiple sources to an interface
Launch a session to run an interface
Enforce data quality constraints in an interface
Manage packages
Understand Oracle DI Studio 12c New Features
Create Mappings Oracle DI Studio 12c
Create Mappings Using the Model and Topology Objects Wizard
Describe Oracle Data Integrator and Big Data Integration Patterns
Course Topics:
Overview
Course Scenario
Understanding ETL and Data Integration Platforms
ETL Framework and Components
The Evolution of ETL
Code Generators versus Engines
Database-Centric ETL
Data Integration Platforms
ETL versus EAI
Understanding the Data Integration Tool Market
Functional Capabilities of Data Integration Tools
ODI Value Proposition
Traditional ETL to Integration and Data Warehousing
Conventional ETL Design
The ELT Approach to Integration and Data Warehousing
Declarative Design
Traditional ETL versus E-LT Approach
Introduction to Oracle Data Integrator
Oracle Data Integrator Product Architecture
Knowledge Modules
Data Quality
Data Integrity
Name and Address Cleansing Tools
Changed Data Capture
Oracle Data Integrator and Oracle SOA Suite
Oracle Data Integrator in Relation to Oracle Warehouse Builder
Oracle Data Integrator Architecture and Components
Introduction to Oracle Data Integrator Studio
Graphical Interface
Defining an Interface
Navigating Oracle DI Studio Interface
Defining a Modular Interface
ODI Packages
Load Plans
Agents
Repositories
ODI Console
Exploring Oracle DI Console
Connecting to ODI Master and Work Repositories
Creating and Connecting to ODI Master Repository
Creating and Connecting to ODI Work Repository
Setting Up ODI Topology and Concepts
Introduction to Contexts
The Physical Architecture
The Logical Architecture
Logical Architecture and Contexts
Data Servers
Creating Physical Data Servers
Creating Physical Schemas
Creating Logical Data Servers
Creating Logical Schemas
Standalone and Java EE Agents
Physical and Logical Agents
Configure Physical Java EE Agents
Creating Logical Java EE Agents
Setting up Load Balancing
Managing Standalone ODI Agents
Starting ODI Agent from Command Line
Examining the Default ODI Parameters File
Testing the ODI Agent
Executing ODI Objects with Agent
Knowledge Modules Concepts
Knowledge Modules at Design and Runtime
Pluggable Knowledge Modules
The Topology Matrix
Working with Contexts
Creating Developer Context
Creating Production Context
Working with Projects
Understanding the Project Life Cycle
Creating a Project
Working with Knowledge Modules
Project and Global Knowlegde Modules
Modules Naming Convention
Loading Knowledge Modules
Introduction to ETL Development
The Planning and Design Thread
The Data Flow Thread
Data Delivery Thread
ETL Data Structures
ETL and Data Staging
Designing the Staging Area
Data Structures in the ETL System
Flat Files
XML Data Sets
DTDs, XML Schemas, and XSLT
Relational Tables
Independent DBMS Working Tables
Third Normal Form Entity /Relation Models
Non-relational Data Sources
Dimensional Data Models
Fact Tables
Dimension Tables
Atomic and Aggregate Fact Tables
Surrogate Key Mapping Tables
Impact Analysis
Metadata Capture
Naming Conventions
Auditing Data Transformation Steps
Oracle ETL-ELT Reference Architecture
Information Architecture Capabilities
Information Provisioning
Data Processing
Data Governance
Data Virtualisation
Information Delivery
Information Access
Information Modelling
Approach to Oracle ETL development
Strategy and Planning Phase
Discover Phase
Analyse Phase
Define Phase
Develop Phase
Deploy Phase
Understanding the Extract, Transform and Integration Process
Data Extraction
The Logical Data Map
Building the Logical Data Map
Approach to Analysing ER Diagrams
Data Content Analysis
Collecting Business Rules in the ETL Process
Integrating Heterogeneous Data Sources
Challenge of Extracting from Disparate Platforms
Processing Fixed Length Flat Files
Processing Delimited Flat Files
Data Transformation
Data Capture
Cleansing and Conforming
Data Cleansing Techniques
Data Conditioning
Data Integration
Data Refining
Data Quality Assessment
Anomalies in Data Fields
Lack of Data Standards
Lack of Data Consolidation
Extracting, Transforming and Loading Customer Dimension
Creating the Customer Load Interface
Creating Customer Mappings
Creating Customer Filters
Creating Customer Data Flow
Executing the Customer Interface
Extracting, Transforming and Loading City Dimension
Adding the City Dimension
Creating City Mappings
Creating City Data Flow
Executing the City Interface
Extracting, Transforming and Loading Heterogeneous Sources
Adding Heterogeneous Sources
Creating Heterogeneous Joins
Creating Heterogeneous Mappings
Exploring the Heterogeneous Data Flow
Executing the Heterogeneous Interface
Extracting, Transforming and Loading Fact Tables
Creating Orders Fact
Editing Orders Fact Mappings
Creating Orders Fact Data Flow
Extracting, Transforming and Loading XML Files
Creating the XML Load Interface
Creating the XML Joins
Creating the XML Mappings
Creating the XML Data Flows
Executing the XML Interface
Working with Data Integrity
Checking the Quality of Existing Data
Defining Reference Data Loading Rules
Defining Conditions to Enforce Data Load
Workflow Management
Working with Packages and Scenarions
Creating a Package
Exploring Package Tools
Linking Steps in Package
Creating Notification Message
Executing Package
Compile Package into Scenario
Working with Functions and Variables
Understanding User Functions
Creating a User Functions
Applying the User Function in an Interface
Run the User Function in the Interface
Creating a Variable
Oracle DI Console Administrative Operations
Performing Operations in ODI Console
Managing Scenarios and Sessions ODI Console
Administering Repositories in ODI Console
Oracle Data Integrator 12c
Understand Oracle DI Studio 12c New Features
Exploring the Oracle DI Studio 12c Interface
The Mapping Editor in Studio
Knowledge Module Architecture
Oracle Warehouse Builder Integration
Oracle GoldenGate Integration
Architecture for Enterprise-Scale Deployment
Oracle Data Integrator 12c Fundamentals
Creating ODI Project
Creating Source Dataserver and the Physical Schema
Creating Source Logical Schema
Creating Source Model
Creating Target Dataserver and the Physical Schema
Creating Target Logical Model
Creating Target Model
Exploring the Mapping Editor
Creating ODI Mapping
Introduction to the Model and Topology Objects Wizard
Create Mappings Using the Model and Topology Objects Wizard
Creating Source Data Model
Creating Target Data Model
Creating Diagram based on Source Model
Creating Mapping using Diagram
Generating Code for the Target Platform
Exploring the Data Loading Strategies (LKM)
Running and Monitoring the Mapping
Oracle Data Integrator and Big Data
Big Data and Hadoop Essentials
Hive Overview
Oracle Big Data Fundamentals
Describe the Oracle approach to Big Data
Oracle Data Integrator and Big Data
Oracle Data Integrator Application Adapter for Hadoop
Loading Unstructured Data from File into Hive
Transforming and Validating Data on Hive
Loading Processed Data in Hive into Oracle
NOTE: THIS COURSE IS ALSO AVAILABLE IN SELF-STUDY E-LEARNING, CBT OR DISTANCE LEARNING FORMATS. FEEL FREE TO ASK IF YOU PREFER DISTANCE, E-LEARNING OR CBT LEARNING FORMATS. PRICES DIFFER
What is Computer Based Training - CBT?
Computer Based Training - CBT's are usually interactive with Software Simulations (behaves like you're using the real thing on the PC, therefore you don't even need the real software installed on your machine) and sometimes BUT NOT ALWAYS with voice. This Publisher's CBT Titles do NOT have voice..FACT:
TRY WEBLEARNING E-LEARNING DEMOS TODAY:: <LOOKING FOR A TRAINING GUIDE DEMO? THEN CLICK HERE
LOOKING FOR A CBT DEMO? THEN CLICK HERE