Intro to Data Modeling

In this Bigger Brains course, you’ll learn the fundamentals of data modeling and why well-designed models are essential for accurate, efficient, and scalable data-driven systems. You’ll explore core concepts such as entities, attributes, and relationships, and see how data moves through the analysis process from raw information to meaningful intelligence. You’ll also learn how primary keys, dependencies, and relationship types work together to maintain data integrity. 

You’ll dive into data normalization forms and explore when and why denormalization is useful. You’ll see how referential integrity and cascading rules help preserve consistent relationships between tables, and you’ll get an introduction to SQL and other querying languages used in data modeling. Whether you’re new to databases or strengthening your foundational skills, this course helps you build confidence designing clear, dependable data models. 

Topics covered include: 

• Defining data modeling 

• Identifying entities and attributes  

• Creating relationships between entities 

• Listing the benefits of normalizing data  

• Identifying a primary key and why it is needed 

• Describing dependencies between tables 

• Defining First, Second, and Third Normal Form to normalize data 

• Lising the benefits to denormalization 

• Designing Star Schemas and Snowflake Schemas 

• Describing considerations when denormalizing data 

• Describing one-to-one, one-to-many, and many-to-many relationships 

• Describing and creating referential integrity and cascading referential integrity 

• Defining SQL 

• Discussing the different types of SQL structures 

Enjoy award winning HD content in the “Uniquely Engaging”TM Bigger Brains Teacher-Learner style! Taught by top subject matter experts, Bigger Brains courses are professionally designed around key learning objectives and include captions and transcripts, downloadable handouts, and optional LinkedIn digital badges on course completion.