In this class, business analysts will get hands-on practice modeling requirements through entity relationship diagrams, super- and sub-types, and attributive and associative entities.
- Course Start Date: Jan. 24
- Location: Toronto
- Time: 8:30 am - 4:30 pm (Note on end times)
- Duration: 3 days
08:30 AM - 04:30 PM
on the number or students and pace of the class.
It is important to allow for the class to run a little bit longer,
or finish a little sooner, than expected.
- Delivery Method(s):Virtual Instructor Led
- Discount Seats Available:2
- Category:Business Analysis Training
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- Course Outline
Since a business analyst needs to accurately elicit, define, and document user requirements, understanding the users' needs is key to an analyst's success. By using logical data modeling, a business analyst can convey requirements in a way that can easily be validated, and doing so allows stakeholders to understand the requirements, business rules, and data management methods for any given project.
In this class, get hands-on practice modeling requirements through entity relationship diagrams, supertypes and subtypes, and attributive and associative entities. You will learn to use logical data modeling to work directly with business users to accurately define requirements.
Students pursuing a university-recognized and/or accredited certificate in Canada or continuing education units in the US must attend at least 90% of class time, participate in class exercises and section-knowledge checks, and score at least 70% on an end-of-class, multiple-choice assessment.
What You'll Learn
- How logical data models relate to requirements
- Identifying entities and attributes
- Determining relationships and business rules
- Data integrity through normalization
Systems analysts, business analysts, IT project managers, associate project managers, project managers, project coordinators, project analysts, project leaders, senior project managers, team leaders, product managers, and program managers.
1. Introduction to Logical Data Modeling
- Importance of logical data modeling in requirements
- When to use logical data models
- Relationship between logical and physical data model
- Elements of a logical data model
- Read a high-level data model
- Data model prerequisites
- Data model sources of information
- Developing a logical data model
- Importance of well-defined solution scope
- Functional decomposition diagram
- Context-level data flow diagram
- Sources of requirements
- Functional decomposition diagrams
- Data flow diagrams
- Use case models
- Workflow models
- Business rules
- State diagrams
- Class diagrams
- Other documentation
- Types of modeling projects
- Transactional business systems
- Business intelligence and data warehousing systems
- Integration and consolidation of existing systems
- Maintenance of existing systems
- Enterprise analysis
- Commercial off-the-shelf application
- Discovering entities
- Defining entities
- Documenting an entity
- Identifying attributes
- Distinguishing between entities and attributes
- Model fundamental relationships
- Cardinality of relationships
- Is the relationship mandatory or optional?
- Naming the relationships
- Discover attributes for the subject area
- Assign attributes to the appropriate entity
- Name attributes using established naming conventions
- Documenting attributes
- Modeling many-to-many relationships
- Model multiple relationships between the same two entities
- Model self-referencing relationships
- Model ternary relationships
- Identify redundant relationships
- Use supertypes and subtypes to manage complexity
- Use supertypes and subtypes to represent rules and constraints
- Normalize a logical data model
- First normal form
- Second normal form
- Third normal form
- Reasons for denormalization
- Transactional vs. business intelligence applications
Verify the technical accuracy of a logical data model
- Use CASE tools to assist in verification
- Verify the logical data model using other models
- Data flow diagram
- CRUD matrix
- Prerequisites & Certificates
- Business Analysis Essentials (BA10) - Requirements Development, Documentation, and Management (BA20) - Use Case Modeling (BA325)
- 21 PMI PDUs - 2.1 CEUs - 21 IIBA CDUs
- Cancellation Policy
We require 16 calendar days notice to reschedule or cancel any registration. Failure to provide the required notification will result in 100% charge of the course. If a student does not attend a scheduled course without prior notification it will result in full forfeiture of the funds and no reschedule will be allowed. Within the required notification period, only student substitutions will be permitted.
Reschedules are permitted at anytime with 16 or more calendar days notice. Enrollments must be rescheduled within six months of the cancel date or funds on account will be forfeited.
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