Overview
Mastering IBM Financial and Banking Data Model with using IBM InfoSphere Data Architect
Syllabus
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- **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
Taught by
Dien Pham, Cu Dinh Tien, Quan Pham and Educonnhub
Tags
On-Demand
