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Data Modeling (Data Modeling)

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...

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$2,385 USD
Duration 3 days
Course Code 2711
Available Formats Virtual, Classroom

Overview

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.

Skills Gained

  • How logical data models relate to requirements
  • Identifying entities and attributes
  • Determining relationships and business rules
  • Data integrity through normalization

Who Can Benefit

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 Details

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
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Schedule

1 options available

  • Guaranteed to Run
    Jun 16, 2025 - Jun 18, 2025 (3 days)
    Virtual | 8:30 AM 4:30 PM EDT
    Language English
    Select from 1 options below
    Virtual |8:30 AM 4:30 PM EDT
    Virtual | 8:30 AM 4:30 PM EDT
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FAQ

Does the course schedule include a Lunchbreak?

Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does Ascendient Learning deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

What does vendor-authorized training mean?

As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.

Is the training too basic, or will you go deep into technology?

It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.

How up-to-date are your courses and support materials?

We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.

Are your instructors seasoned trainers who have deep knowledge of the training topic?

Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.

Do you provide hands-on training and exercises in an actual lab environment?

Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.

Will you customize the training for our company’s specific needs and goals?

We will work with you to identify training needs and areas of growth.  We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.

How do I get started with certification?

Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact info@ascendientlearning.com.

Will I get access to content after I complete a course?

You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.

How do I request a W9 for Ascendient Learning?

View our filing status and how to request a W9.

Reviews

The class and material is good. I think some of the software needs to be updated.

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ExitCertified provided great learning material and the instructor was great.

You get detailed labs to guide you through the technical material giving you a hands on method of learning otherwise difficult material.

The exit certified aws course provided a good introduction to the tools available on aws.