Intro to Business Data Modeling using ORM
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This course provides an introduction to business data modeling using object-role modeling (ORM), focusing on the development of data architecture across various organizational scopes. Participants will learn to gather data requirements, apply ORM techniques, and establish data governance practices. The target audience includes business analysts, data architects, and project managers, with the training delivered through interactive methodologies over a one-day session.
Intro to Business Data Modeling using ORM
- 1. Intro to Business Data Modeling using ORM This course teaches the fundamentals of business data modeling as it relates to the development of data architecture defined by the scope of work – by project, by program, by department, by division, or at the corporate level. Participants will learn the essentials of data architecture, from data requirements elicitation and validation, to the application of the Object-Role Modeling method. This course will also provide participants guidance on how to improve the quality of data by (1) understanding their meanings; (2) defining and applying business rules and constraints that govern them; and (3) establishing realistic data governance practices. Training Objectives 1. Understand how business data modeling fits within the enterprise architecture process 2. Develop awareness of the benefits of gathering thorough data requirements 3. Apply fundamental techniques in documenting data requirements using ORM notation 4. Understand the role of ORM in the systems life cycle. Target Audience • Business Analysts, Business Architects, Business Process Modelers • Data Architects, Data Administrators, Data Modelers, Database Administrators • Enterprise Architects • Project Managers, or any Business Managers Learning Methodologies • Interactive Lecture/Demonstration Duration: 1 day Topics: I. Course Overview II. Data Requirements Gathering a. Requirements Problems b. Requirements Categories c. Association between Requirements Qualities III. Overview of Different Data Modeling Methods a. Levels of Treating Information 1. Conceptual Level 2. Logical Level 3. Physical Level 4. External Level b. Model-driven Engineering Process c. Fact-based Modeling IV. Overview of Object-Role Modeling (ORM) a. ORM basics b. ORM Conceptual Schema Design Procedure 1. Gathering examples and creation of elementary fact types 2. Drawing and populating fact types 3. Noting basic derivations 4. Applying uniqueness constraints 5. Documenting value, set, and subtype constraints 6. Adding other constraints c. Documentation Options CourseOutline