Data Modeling Essentials - Build a Strong Foundation

Learn Data Modeling from a Industry Veteran - Understand how business data becomes the backbone of Data Analytics & AI.

🧭 Workshop Overview

Every modern data platform - whether Power BI, Databricks, or Snowflake - depends on a well-designed data model.
This workshop breaks down the entire data-modeling process in simple, practical steps. Participants will learn how to translate business requirements into conceptual, logical, and physical data structures that form the backbone of analytics, reporting, and AI systems.

🧩 Learning Outcomes

By the end of this workshop, participants will be able to:

1. Explain what Data Modeling is and why it’s fundamental to analytics and AI.

2. Distinguish between Conceptual, Logical, and Physical data models.

3. Identify Entities, Attributes, and Relationships in a real-world business scenario.

4. Understand common modeling patterns : 3NF, Star Schema, Snowflake Schema and their use cases.

5. Build a simple data model using Excel.

6. Recognize how data models integrate with modern cloud platforms (Databricks, Snowflake, Power BI).

📘 Workshop Resources

Participants receive:

• Slide Deck (PDF) – summarized key concepts

• Excel ERD Template for designing conceptual/logical models

• Reference Links for further learning (Data Vault 2.0, Kimball methodology, Data Mesh overview)

• Certificate of Participation