Learn Data Warehouse and ODI 11g - Step by Step Guide (2015)

Find out how to create and manage Data warehouse and ETL life cycle with ODI

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.

What are the requirements?

• Internet access

What am I going to get from this course?

• Over 37 lectures and 4 hours of content!
• 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
• Development Jobs with using ETL and ELT logic
• Using Knowledge Modules (KM) with ODI Interface
• Understanding Reverse Engineering
• Creating Master and Work Repository
• Creating a Physical and logical Schema
• Creating Model,Interface

What is the target audience?

• 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

Curriculum
Section 1: Section 1: Introduction
Lecture 1 Introduction to Course 02:01
Course Description

Section 2: Section 2: Data Warehouse Fundamentals
Lecture 2 Definition of a data warehouse and Properties 02:44
Lecture 3 Top-Down and Bottom-up Approach 02:00
Lecture 4 Defining Inmon Methodology 05:09
Lecture 5 Defining Kimball Methodology 01:48
Lecture 6 Overview of Extraction, Transformation, and Loading 02:47
Lecture 7 Overview of Change Data Capture(CDC) 09:37
Lecture 8 Understanding Slowly Changing Dimensions(SCD) 04:04
Lecture 9 Data Modeling and Relational Database Design 08:01
Lecture 10 OLTP(Online Transactional Processing) 02:27
Lecture 11 Staging Area(STG) 06:11
Lecture 12 Operational Data Store (ODS) 01:59
Lecture 13 Data Warehouse Structure 02:25
Lecture 14 Data Mart Concepts 03:29
Lecture 15 Data Warehousing Logical Design and Schema Approches 05:14
Lecture 16 Performing Data Profiling 01:10
Lecture 17 Data Quality Guide 12:15
Lecture 18 Describing Database Metadata 02:17
Section 3: Section 3: Installation And Examples of Oracle Data Integrator (ODI)
Lecture 19 Install Oracle Data Integrator(ODI) and Database Preparations 07:21
How to Install Oracle Data Integrator
Lecture 20 Creating and Connecting to ODI Master Repository 04:41
Lecture 21 Creating and Connecting to ODI Work Repository 02:50
Lecture 22 Setting Up the Oracle Data Integrator Topology(Physical and Logical) 03:18
Lecture 23 Creating and Using Data Models at ODI 01:39
Lecture 24 Create a Project & Knowledge Module & Interface 07:45
Lecture 25 Filter Interface 02:59
Lecture 26 Join Transformation 04:31
Lecture 27 Setting Up an ODI Agent 06:52
Section 4: Section 4 :Live Demo
Lecture 28 Creating and Using Mappings 14:07
Lecture 29 Mirror Modelling 19:19
Lecture 30 Data Warehouse Modelling 1 17:25
Lecture 31 Data Warehouse Modelling 2 17:06
Lecture 32 Data Warehouse Modelling 3 19:23
Lecture 33 Data Warehouse Modelling 4 19:23
Section 5: Section 5 :Documentation
Lecture 34 ODI Questions and Answers 5 pages
Lecture 35 DWH Questions and Answers 4 pages
Lecture 36 10 Things that must be done while starting Datawarehouse Project 1 page
Lecture 37 10 Mistakes that are commonly done in Datawarehouse Projects 1 page







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