Mastering IBM Industry Data Warehousing Models

Overview

Mastering IBM Financial and Banking Data Model with using IBM InfoSphere Data Architect. What you'll learn:

Foundations of Data Warehousing, IBM InfoSphere Data Architect, Hands-On with InfoSphere Data Architect, IBM Industry Data Model in Financial & Banking, Healthcare, Insurance, Retail, and Telecommunication, IBM Financial & Banking Data Model in very detail, Demonstration of IBM Financial & Banking Data model with IBM InfoSphere Data Architect

Syllabus

• **Foundations of Data Warehousing**
Introduction to Data Warehousing Concepts
Key Components: Staging, Atomic Data, Data Marts
Overview of ETL Processes
Understanding Overall Data Architecture
• **IBM InfoSphere Data Architect Mastery**
Basics of IBM InfoSphere Data Architect
Features and Capabilities of the Tool
Conceptual, Logical, and Physical Data Modeling
• **Hands-On Experience with IBM InfoSphere Data Architect**
Creating Projects in InfoSphere
Forward and Reverse Engineering Data Models
Building and Publishing Logical and Physical Data Models
Real-World Scenario Simulations
• **IBM Industry Data Models**
Introduction to IBM Industry-Specific Data Solutions
Navigating Industry Challenges with IBM Data Models
Exploring Models for Financial, Healthcare, Insurance, Retail, and Telecommunications
• **Deep Dive into Banking Data Models**
Understanding IBM Banking Data Model Architecture
Detailed Examination of the Financial Services Data Model (FSDM)
Nine Key Data Concepts: Involved Party, Arrangement, Condition, Product, Location, Classification, Event, Resource Item, Business Direction Item
Analytical Requirements and Dimensional Data Models
Overview of Business Areas: Asset & Liability, Investment, Payments, Profitability, Compliance, Marketing, Risk, Wealth Management
Detailed Walkthrough of Data Entities and Relationships
Exploring Atomic Data Model for Data Warehousing
• **Practical Demonstration with IBM Banking Data Model**
Implementing the Banking Data Model using IBM InfoSphere Data Architect
Overview of Financial Services Data Model
Demonstrating Analytical Requirements and Dimensional Data Model
Practical Implementation of Data Warehouse Model

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Taught by

Dien Pham, Cu Dinh Tien, Quan Pham and Educonnhub

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Subjects

Business