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Mastering IBM Industry Data Warehousing Models

سرفصل های دوره

1. Introduction
  • 1. Introduction
  • 2. Course Outline
  • 3.1 IDA - General.rar
  • 3. Materials.html

  • 2. Introduction to Data Warehousing
  • 1. Introduction to Data Warehousing
  • 2. Importance in Modern Business
  • 3. Key Components of a Data Warehouse
  • 4. Benefits and Use Cases
  • 5. Data Warehouse Architecture

  • 3. IBM InfoSphere Data Architect Basics
  • 1. IBM Infosphere Data Architect
  • 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

  • 4. Hands-On with InfoSphere Data Architect
  • 1. Hands-On with InfoSphere Data Architect & Scenario 1 Forward Engineering
  • 2. Scenario 2 Reverse Engineering and Web publishing
  • 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

  • 5. Introduction to IBM Industry Data Model
  • 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

  • 6. Introduction to IBM Banking Data Model
  • 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
  • 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. Summary Session
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    مدت زمان: 297 دقیقه
    تاریخ انتشار: 19 تیر 1403
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