Course curriculum

    1. Introduction to Data Warehousing

      FREE PREVIEW
    2. Importance in Modern Business

    3. Key Components of a Data Warehouse

    4. Benefits and Use Cases

    5. Data Warehouse Architecture

    1. IBM Infosphere Data Architect

      FREE PREVIEW
    2. IBM Infosphere Data Architect - Purpose & Functionality and Key Features

    3. IBM Infosphere Data Architect - IBM Ecosystem Integration

    4. IBM Infosphere Data Architect - Industry Templates and Standards

    5. IBM Infosphere Data Architect - Data Governance & Metadata management

    6. IBM Infosphere Data Architect - Code Generation and DDL Scripting

    7. IBM Infosphere Data Architect - Impact Analysis

    8. IBM Infosphere Data Architect - Reporting and Documentation

    9. IBM Infosphere Data Architect - Cross-Platform Compatibility

    10. IBM Infosphere Data Architect - Reverse Engineering

    11. IBM Infosphere Data Architect - Naming Standard

    12. Data Modeling Traditional high level process

    13. Data Modeling How to create

    14. Data Modeling How to build

    15. Multiple Package Diagrams for a complex model

    16. Physical Data Model creation

    1. Hands-On with InfoSphere Data Architect & Scenario 1 Forward Engineering

    2. Scenario 2 Reverse Engineering and Web publishing

      FREE PREVIEW
    3. Demonstration: MySQL Installation

    4. Demonstration: IBM Infosphere Data Architect (IDA) Installation

    5. Demonstration: Infosphere Data Architect - Forward Engineering

    6. Demonstration: Infosphere Data Architect - Web Publishing

    7. Demonstration - Infosphere Data Architect - Reverse Engineering

    1. Introduction to IBM Industry Data Model

    2. What are the IBM Industry Models

    3. IBM Industry Models Components and Terminology

    4. Benefits of Implementing IBM Industry Data Model

    5. Why do we need an Industry data model

    6. Success factors in using IBM Industry Data Models

    7. IBM Banking and Financial Market Data Warehouse

    8. Specific IBM Industry Data Models

    1. Introduction to IBM Financial Banking Data Model

    2. Data Warehouse Architecture

    3. Set of extensive Banking Data Models

    4. FSDM (Business Conceptual Model)

    5. FSDM (Business Conceptual Model) - 9 Data Concepts - Slide 45-46 - Made with Clipchamp

    6. FSDM (Business Conceptual Model) - 9 Data Concepts in relationship for Example

    7. The Analytical Requirements Model

    8. The Analytical Requirements Model – Focus Areas

    9. Asset and Liability Management

    10. Investment Management

    11. Payment Analysis

    12. Profitability Analysis

    13. Regulatory Compliance Analysis

    14. Relationship Marketing Analysis

    15. Risk Management

    16. Wealth Management

    17. Dimensional Warehouse Model

    18. Atomic Warehouse Model – Subject oriented, normalized flexible Package

    19. Atomic Warehouse Model Entities

    20. Atomic Warehouse Model - Fundamental Entity

    21. Atomic Warehouse Model - Invariant History Entity

    22. Atomic Warehouse Model - Periodic History Entity

    23. Atomic Warehouse Model - Episodic History Entity

    24. Atomic Warehouse Model - Continuous Relationship Entity

    25. Atomic Warehouse Model - Continuous Values Entity

    26. Atomic Warehouse Model - Associative Entity

    27. Atomic Warehouse Model - Classification Entity

    28. Atomic Warehouse Model - Classification Entity (Cont.)

    29. Atomic Warehouse Model - Supportive Entity

    30. Atomic Warehouse Model - Supportive Summary Entity

    31. Atomic Warehouse Model - Example of Piece of System of Record

    32. Demonstration: FSDM (Business Conceptual Model) - 9 Data Concepts

    33. Demonstration: The Analytical Requirements Model - Dimensional Data Model

    34. Demonstration: Atomic Warehouse Model

    35. Recap

About this course

  • $22.00
  • 75 lessons
  • 5 hours of video content

Reference, Rating, and Feedback

Intended learners

What will you learn in the course?

  • 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

Instructor(s)

Instructor Bio:

I'm a seasoned author deeply passionate about data strategy and management. With over 15 years in IT, spanning banking, insurance, and retail, I've held key roles such as Data Division Director and Chief Data Officer. Currently, as Director of Data Division, I shape data initiatives, while as a Governance & Analytics expert, I establish robust frameworks. Through my writing, I share practical strategies and insights honed from diverse industry experience.

Dien Pham Cong

Chief Data Officer

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