- Course
Introduction to Data Warehousing in SQL Server
Modern data warehouses need clear platform and design choices. This course will teach you how SQL Server 2025 fits into modern warehouse architectures, and how to approach core design and operating decisions.
Intermediate
- Course
Introduction to Data Warehousing in SQL Server
Modern data warehouses need clear platform and design choices. This course will teach you how SQL Server 2025 fits into modern warehouse architectures, and how to approach core design and operating decisions.
Intermediate
Get started today
Access this course and other top-rated tech content with one of our business plans.
Try this course for free
Access this course and other top-rated tech content with one of our individual plans.
This course is included in the libraries shown below:
- Data
What you'll learn
Organizations often have data spread across operational systems, reporting databases, cloud platforms, and analytics tools, making it difficult to decide where SQL Server fits in a modern data warehouse architecture.
In this course, Introduction to Data Warehousing in SQL Server, you’ll gain the ability to explain how SQL Server 2025 can support modern warehouse workloads and how key design choices affect the full warehouse lifecycle.
First, you’ll explore where SQL Server fits in the Microsoft data stack alongside Azure SQL, Fabric, Power BI, and data integration tools.
Next, you’ll discover the SQL Server features and dimensional modeling concepts that shape modern warehouse design.
Finally, you’ll learn how design decisions connect to loading, performance, reporting, operations, and long-term warehouse maintenance.
When you’re finished with this course, you’ll have the skills and knowledge of SQL Server data warehousing needed to evaluate SQL Server as a warehouse platform and understand the core decisions behind a successful SQL Server warehouse architecture.
Introduction to Data Warehousing in SQL Server
Intermediate
Table of contents
Ana Voicu is a software developer passionate about databases, Business Intelligence, and data science. She works on developing enterprise level Business Intelligence solutions for various types of industries, with a focus on performance optimization, pattern recognition, efficient analysis of the business processes, and interactive visualizations.
