• Course
  • Vendor

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: 2019-10-28
  • Time: 08:30:00 - 16:30:00
  • Duration: 3 days 08:30 AM - 04:30 PM
  • Location: Ottawa
  • Delivery Methods(s): Instructor Led

Course Outline

Pre-Requisites

- Business Analysis Essentials (BA10) - Requirements Development, Documentation, and Management (BA20) - Use Case Modeling (BA325)

Lessons

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
Who Needs To Attend
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.

Course Outline

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
2. Project Context and Drivers
  • 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
3. Conceptual Data Modeling
  • Discovering entities
  • Defining entities
  • Documenting an entity
  • Identifying attributes
  • Distinguishing between entities and attributes
4. Conceptual Data Modeling-Identifying Relationships and Business Rules
  • Model fundamental relationships
  • Cardinality of relationships
  • One-to-one
  • One-to-many
  • Many-to-many
  • Is the relationship mandatory or optional?
  • Naming the relationships
5. Identifying Attributes
  • Discover attributes for the subject area
  • Assign attributes to the appropriate entity
  • Name attributes using established naming conventions
  • Documenting attributes
6. Advanced Relationships
  • Modeling many-to-many relationships
  • Model multiple relationships between the same two entities
  • Model self-referencing relationships
  • Model ternary relationships
  • Identify redundant relationships
7. Completing the Logical Data Model
  • Use supertypes and subtypes to manage complexity
  • Use supertypes and subtypes to represent rules and constraints
8. Data Integrity Through Normalization
  • Normalize a logical data model
  • First normal form
  • Second normal form
  • Third normal form
  • Reasons for denormalization
  • Transactional vs. business intelligence applications
9. Verification and Validation
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

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.

Training Location

Global Knowledge Ottawa
360 Albert Street Suite 720

Ottawa, Ontario
Canada   

About Global Knowledge

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Global Knowledge is the world's leading learning services and professional development solutions provider. We deliver learning solutions to support customers as they adapt to key business transformations and technological advancements that drive the way that organizations around the world differentiate themselves and thrive. Our learning programs, whether designed for a global organization or an individual professional, help businesses close skills gaps and foster an environment of continuous talent development.

Training Provider Rating

This vendor has an overall average rating of 4.39 out of 5 based on 426 reviews.

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Wasn’t as advanced as I thought it would be. There was an issue when the day my course was the first time they used a new platfo ... Read more
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Wasn’t as advanced as I thought it would be. There was an issue when the day my course was the first time they used a new platform.. from adobe to something called zoom; I had to call support line cause it stated our instructor wasn’t present. Thankfully I called cause everyone online was in the adobe virtual classroom waiting for what looked like a teacher who didn’t show up for class (IT didn’t get anything resolved until 10mins after start time). I felt like he was really getting hung up on very basic knowledge for the first half of the course (talking about how to create tabs and drag formulas as an example). I completed files a few times before he was done explaining. There was a scheduled fire drill for them (roughly 30mins)that also cut into our time, which wasn’t deducted from the hour lunch break or the two, fifteen min breaks. I also really wish he touched base more on the automating workbook functions portion which we barely did. I'm happy there were/are those study guides (learning videos) and exams to take on my own time that I hope after I've had the class are still available for me to learn from.

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It was difficult to practice on my PC while trying to watch the presentation online.

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