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Build Data Loading Pipelines for SQL Server Data Warehouses

Data loading pipelines are essential for dependable SQL Server warehouses. This course will teach you how to design, build, validate, and orchestrate repeatable warehouse loading workflows.

Intermediate
1h 55m

Created by Thomas LeBlanc

Last Updated Oct 25, 2026

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  • Course

Build Data Loading Pipelines for SQL Server Data Warehouses

Data loading pipelines are essential for dependable SQL Server warehouses. This course will teach you how to design, build, validate, and orchestrate repeatable warehouse loading workflows.

Intermediate
1h 55m

Created by Thomas LeBlanc

Last Updated Oct 25, 2026

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What you'll learn

Reliable warehouse loading requires more than moving rows from one table to another. Teams need clear staging patterns for dimensional model objects like dimension, fact, and bridge tables. In this course, Build Data Loading Pipelines for SQL Server Data Warehouses, you’ll gain the ability to design and implement dependable workflows for SQL Server warehouse environments. First, you’ll explore ETL and ELT patterns, landing and staging layers, source system considerations, and how latency and data volume shape loading decisions. Next, you’ll discover how to build reliable dimension and fact pipelines with validation, rejected record handling, audit columns, and load metadata. Finally, you’ll learn how to orchestrate reusable pipeline activities with SQL Server-native data tools while improving maintainability. When you’re finished with this course, you’ll have the skills and knowledge of SQL Server data warehouse loading pipelines needed to build production-ready dimensional models that are easier to operate, troubleshoot, and evolve.

Build Data Loading Pipelines for SQL Server Data Warehouses
Intermediate
1h 55m
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About the author
Thomas LeBlanc - Pluralsight course - Build Data Loading Pipelines for SQL Server Data Warehouses
Thomas LeBlanc
23 courses 3.8 author rating 341 ratings

Microsoft Data Platform MVP specializing in SQL Server, Microsoft Business Intelligence (SSIS, SSAS & SSRS) and Power BI.

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