Mastering IBM Industry Data Warehousing Models

Mastering IBM Financial and Banking Data Model with using IBM InfoSphere Data Architect

*This course contains the use of artificial intelligence.*

What will you learn:

1. Foundations of Data Warehousing:

   • Gain insights into the importance and key components of data warehousing, exploring concepts like staging, atomic data, data marts, ETL processes, and overall data architecture.

2. IBM InfoSphere Data Architect Mastery:

   • Dive into the basics of IBM InfoSphere Data Architect, exploring its features, capabilities, and the art of data modeling, covering conceptual, logical, and physical modeling.

3. Hands-On Experience:

   • Roll up your sleeves for hands-on sessions with InfoSphere Data Architect. Learn to create projects, practice forward and reverse engineering data modeling, and build data models and how to publish the logical and physical with real-world scenarios.

4. IBM Industry Data Models:

   • Explore the tailored solutions offered by IBM for industry-specific data challenges. Understand the benefits, success factors, and navigate challenges using industry-specific models in financial, healthcare, insurance, retail, and telecommunications.

5. Deep Dive into Banking Data Models:

   • Focus on the IBM Banking Data Model, uncovering its architecture, and:

     • Financial services data model (FSDM) with 9 data concepts such as: Involved Party, Arrangement, Condition, Product, Location, Classification, Event, Resource Item and Business Direction Item.

     • And analytical requirements, and dimensional data model with overview of 8 main business areas of Asset & liability management, Investment management, payments, profitability, Regulatory Compliance, Relationship marketing, Risk management, Wealth Management.

     • Get a detailed walkthrough of each data entity, relationship, and the data warehouse (atomic) model.

6. Practical Demonstration:

   • Witness a practical demonstration of implementing IBM Banking Data Model using IBM InfoSphere Data Architect. Explore the Financial Services Data Model, Analytical Requirements & Dimensional Data Model, and the Data Warehouse Model