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Apply SCD2 to Build Dynamic Data Models

This course is part of Pipeline Architects: Data Engineering to Lakehouse Specialization

Instructor: Hurix Digital

Included with

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2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Historical data preservation is essential for accurate business analytics and regulatory compliance - once overwritten, critical context is lost.
SCD2 patterns create sustainable data architecture by maintaining complete audit trails through automated versioning than destructive updates.
Effective dimensional modeling requires systematic change detection logic that identifies modifications and creates new historical records.
Modern data tools like dbt democratize complex SCD2 implementation, making enterprise-grade historical tracking accessible through declarative SQL.

Skills you'll gain

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Shareable certificate

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Build your subject-matter expertise

This course is part of the Pipeline Architects: Data Engineering to Lakehouse Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 2 modules in this course

Did you know that without historical data tracking, over 40% of business insights can become inaccurate or misleading? Implementing Slowly Changing Dimension (SCD) Type 2 ensures every change in your data tells the full story over time.

This Short Course was created to help professionals in this field implement robust historical data tracking systems that maintain complete audit trails and support accurate trend analysis in enterprise data warehouses. By completing this course, you will be able to apply SCD Type 2 logic to build dynamic data models that capture historical changes, enabling reliable reporting, timebased analysis, and improved business intelligence accuracy. By the end of this 3hour long course, you will be able to: Apply slowlychanging dimension (SCD) Type 2 logic to build data models that track historical changes. This course is unique because it connects data modeling theory with practical warehouse implementation, giving you the skills to design scalable, auditready models that preserve data integrity across time. To be successful in this project, you should have: Basic SQL knowledge Understanding of data modeling concepts Familiarity with dbt fundamentals Data warehouse basics

Module details

Learners will understand the fundamental concepts of SCD2 logic and begin applying these principles to create data models that preserve historical context in enterprise data warehouses.

What's included

3 videos1 reading1 assignment1 ungraded lab

3 videosTotal 14 minutes

Why SCD2 Matters in Enterprise Data Warehouses4 minutes
Understanding SCD2 Core Components and Business Logic 7 minutes
Building Your First SCD2 Table Structure in SQL4 minutes

1 readingTotal 8 minutes

SCD2 Implementation Patterns and Data Model Design8 minutes

1 assignmentTotal 3 minutes

SCD2 Fundamentals Knowledge Check3 minutes

1 ungraded labTotal 20 minutes

Build Historical Data Models with SCD2 Logic20 minutes

Learners will implement productionready SCD2 models using dbt, creating automated historical tracking systems with proper change detection, validity periods, and current status management.