Learn Data Warehouse And Odi 11g Step By Step Guide
Tags: Oracle Data Integrator
Find out how to create and manage Data warehouse and ETL life cycle with ODI
Last updated 2022-01-10 | 3.4
- In the end of the course- you’ll design a live sample of data warehouse
- Step by Step Data Warehouse Components and Structures
- Implementing SCD Type-1 and SCD Type-2 Transformations in ODI
What you'll learn
* Requirements
* Internet accessDescription
Would you like to be a data warehouse expert with Independent Concept Data Warehouse Training? In order to professionalize you at this topic, we gathered up all of the trainings and performed the application of the theorical informations to provide a better education.
After obtaining these informations, you’ll learn the Data Warehouse systems and its properties. In this training, all of the abilities that a Data Warehouse & Business intelligence specialist must have will be explained. In the end of the course, we’ll present a live sample of data warehouse. By using ODI (Oracle Data Integration) in the training’s content, you won’t need to do extra payment for the training of ETL tools. You’ll be able to have a wide range of informations over the topics listed bellow:
Data Warehouse
- Data ,Entegration,Knowledge
- Data Warehouse Definition
- ETL/ELT Architecture
- Incremental Load
- Batch Load
- Real Time Load
- Change Data Capture
- Real Time
- Continuosly
- Batch
- Slowly Changing Dimension
- Data Modelling
- Conceptual Data Model
- Logical Data Model
- Physical Data Model
- Fact Table
- Dimension Table
- Operational Database Properties and structure(OLTP)
- Data Warehouse Schema Architecture
- Stagingn Area Properties and structure(STG)
- Operational Data Store Properties and structure(ODS)
- Datawarehouse Properties and structure(DWH)
- Datamart Properties and structure(DM)
- Data Profiling
- Data Quality
- Data Cleaning
- Metadata Management
- End to End Data Warehouse Project Demo
ODI (Oracle Data Integrator)
- Introduction to Oracle Data Integrator 11g
- Introduction to oracle Data integrator
- ODI Studio Components
- ODI Repositories
- Creating Master Repository
- Creating work Repository
- Overview of Topology Navigator
- Creating Physical Architecture
- Creating a Data Server
- Testing a Data Server Connection
- Creating a Physical Schema
- Creating Logical Architecture
- Overview of Logical Architecture and Context Views
- Linking the Logical and Physical Architecture
- Understanding Metadata in ODI
- Understanding Reverse Engineering
- Creating Models
- Organizing Models
- Creating Data stores
- Overview of ODI Projects
- Creating a New Project
- Introduction to Knowledge Modules
- Types of Knowledge modules
- Creating a Basic Interface
- Designing an Interface
- Integration knowledge module (IKM) overview
- Using Knowledge Modules (KM) with ODI Interface
- Executing the interface
- Operator Overview
- Viewing the session log in operator
- Exploring the code in operator
- Creating simple mappings
- Setting knowledge module option Truncate to True
- Join Transformations
- Set Operators Transformations
- Implementing SCD Type-1 Transformations
- Implementing SCD Type-2 Transformation
- Creating Packages in ODI
Why you should have this course?
Because;
I’m not just talking about the concept, but with its installations, I’m moving on with examples over ODI suitable for data warehouse structure and heavily used in the sector.
Despite the course language is English, I’m providing English subtitles support in order not to miss important points.
With various documents and end-of-chapter quizes, I aim to reinforce the topics.
As being more than 10 years in the sector and being an instructor in companies that have big DWH structures, I provide this course.
You are choosing an instructor that can provide support for any type of questions about the training or about DWH structures that does not fall within the training.
Who this course is for:
- Students
- Private company employees
- Developers
- Analysts
- Those who wants to develop themselves in Data Warehouse and Business Intelligence subjects
- Data Scientists
- Database Managers
- Those who wants to learn ODI product and develop themselves in this subject
Course content
5 sections • 37 lectures
Introduction to Course Preview 02:01
Course Description and flow
Definition of a data warehouse and Properties Preview 02:44
what should you understand from data warehouse for living project
Top-Down and Bottom-up Approach Preview 02:00
Defining Inmon Methodology Preview 05:09
Defining Kimball Methodology Preview 01:48
Overview of Extraction, Transformation, and Loading Preview 02:47
Overview of Change Data Capture(CDC) Preview 09:37
how to catch data from source
Understanding Slowly Changing Dimensions(SCD) Preview 04:04
Data Modeling and Relational Database Design Preview 08:01
OLTP(Online Transactional Processing) Preview 02:27
Staging Area(STG) Preview 06:11
Operational Data Store (ODS) Preview 01:59
Data Warehouse Structure Preview 02:25
Data Mart Concepts Preview 03:29
Data Warehousing Logical Design and Schema Approches Preview 05:14
Performing Data Profiling Preview 01:10
Data Quality Guide Preview 12:15
Describing Database Metadata Preview 02:17
what is metadata
Install Oracle Data Integrator(ODI) and Database Preparations Preview 07:21
How to Install Oracle Data Integrator