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  • Learning Path
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  • Data

Design and Operate Data Warehouses in SQL Server

1 Lab
1 Hours
Skill IQ

This learning path is actively in production. More content will be added to this page as it gets published and becomes available in the library. Planned content includes:

1. Introduction to Data Warehousing in SQL Server (video course) 2. Design Dimension Tables in SQL Server Data Warehouses (video course) 3. Build a Dimension Table in SQL Server (hands-on lab) 4. Design Fact Tables in SQL Server Data Warehouses (video course) 5. Build a Fact Table in SQL Server (hands-on lab) 6. Build Data Loading Pipelines for SQL Server Data Warehouses (video course) 7. Implement Incremental Loads and Change Data Capture in SQL Server Data Warehouses (video course) 8. Implement CDC for an Incremental Load in SQL Server (hands-on lab) 9. Optimize Performance in SQL Server Data Warehouses (video course) 10. Tune a Slow Data Warehouse Query in SQL Server (hands-on lab) 11. Operate SQL Server Data Warehouses in Production (video course) 12. Modernize Legacy SQL Server Data Warehouses (video course)

A SQL Server data warehouse is a centralized analytical database built on Microsoft SQL Server to consolidate and analyze business data from multiple sources for reporting and decision-making. This path teaches how to design dimensional models, build modern loading pipelines, implement change data capture, optimize performance, operate warehouses in production, and modernize legacy environments using SQL Server 2022 and 2025.

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What You'll Learn
  • 1. How to get started with data warehousing in SQL Server
  • 2. How to design dimension tables in SQL Server data warehouses
  • 3. How to design fact tables in SQL Server data warehouses
  • 4. How to build modern data loading pipelines for SQL Server data warehouses
  • 5. How to implement incremental loads and CDC in SQL Server data warehouses
  • 6. How to optimize performance in SQL Server data warehouses
  • 7. How to operate SQL Server data warehouses in production
  • 8. How to modernize legacy SQL Server data warehouses
Prerequisites
  • Learners should have working proficiency with T-SQL (joins, CTEs, window functions, query plans) and a solid understanding of relational database concepts such as normalization, indexes, and transactions. Prior exposure to at least one data pipeline or ETL tool is helpful, though no formal data warehousing experience is required.
Related topics
  • Microsoft SQL Server
  • Data Warehousing
  • Data Engineering
  • Dimensional Modeling
  • Performance Optimization
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