Mastering IBM Industry Data Warehousing Models

Master Data Warehousing with IBM InfoSphere Data Architect

Unlock the power of data with this comprehensive course covering data warehousing fundamentals and hands-on experience with IBM InfoSphere Data Architect. You'll gain a strong understanding of how to design and build robust data solutions.

What You'll Learn:

• Foundations of Data Warehousing: Explore the crucial role of data warehousing in modern business intelligence. We'll cover key concepts including staging, atomic data, data marts, and the essential ETL processes that fuel effective data analysis. Understand the overall data architecture required for a successful data warehouse implementation.
• IBM InfoSphere Data Architect Mastery: Become proficient in IBM InfoSphere Data Architect, a leading data modeling tool. This course delves into its core features and capabilities, focusing on the art of data modeling. You'll learn to create conceptual, logical, and physical data models – the building blocks of a well-structured data warehouse.
• Hands-On Data Modeling: Get practical experience with InfoSphere Data Architect through engaging hands-on sessions. You'll learn to create projects, practice forward and reverse engineering data models, and build complete data models. Learn how to publish logical and physical models using real-world scenarios.
• IBM Industry Data Models: Discover how IBM provides tailored data models for specific industries. We'll explore the benefits, success factors, and common challenges associated with using industry-specific models. Learn how to navigate these models in sectors like financial, healthcare, insurance, retail, and telecommunications.
• Deep Dive into Banking Data Models: Focus on the IBM Banking Data Model (FSDM), a powerful solution for the financial services industry. You'll uncover its architecture and the key components of the financial services data model. Understand the analytical requirements and the dimensional data model, covering 8 main business areas: Asset & liability management, Investment management, payments, profitability, Regulatory Compliance, Relationship marketing, Risk management, and Wealth Management. We'll provide a detailed walkthrough of each data entity, relationship, and the atomic data model.
• Practical Demonstration: Witness a live demonstration of implementing the IBM Banking Data Model using IBM InfoSphere Data Architect. See the Financial Services Data Model, Analytical Requirements, and Dimensional Data Model in action, culminating in a complete Data Warehouse Model.