Training on Data Modeling in Uganda, Africa

Right form from conceptual to practical, as you build your data modeling foundation, we shall explore data and data design concepts — before you begin sourcing, preparing, and manipulating data.
We know that the role of the data modeler has become even more critical to the ongoing lifecycle of development and maintenance, especially in this age of digital transformation.
That’s why Analysts, developers, DBAs, and BI professionals need to develop their skills in analyzing and modeling data even more in order to define rules for quality, retention, and protection.
You need a good foundation of data and data design concepts before you begin sourcing, preparing, and manipulating data.
In this training, you will learn how logical and physical data modeling can give you a better understanding of your organization’s data, business rules, and information architecture decisions.
Examine how data models are critical to your data security, privacy, and compliance posture. And get hands-on with real-world data—analyze it, implement business requirements, develop data models, and forward and reverse-engineer SQL Server databases.
you’ll work with Office 365, Visual Studio, and Azure SQL Database.

What you’ll learn
• Fundamentals of normalization and why it’s important to transactional databases
• How to develop logical and physical data models
• How to model data security, privacy, and protection requirements
• When and where to model database-specific performance requirements
• How model-driven development fits in a DevOps or agile environment
• How to avoid schema drift and other data anti-patterns


Module 1: Introducing Data Modeling
Understand the business case for data modeling, and get an introduction to normalization, data modeling taxonomy, and model-driven database design.

Module 2: Designing Logical Data Models
Learn about identifying entities, attributes, and relationships, and learn about entity relationship diagramming and metadata capture.

Module 3: Designing Physical Data Models
Get the details on transforming a logical data model into a physical model, including designing database-specific features and constraints.

Module 4: Leveraging Data Models on Agile and DevOps Projects
Explore the process of data modeling on modern development projects, including planning, continuous delivery, test-driven development, continuous integration, sprints, versioning, and deliverables.