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Optimizing a Data Warehouse on the Microsoft SQL Server Platform

by Thomas LeBlanc

Once a data warehouse is initially created, performance and maintainability come into question. In this course, you'll explore SQL Server and the tools and resources needed to efficiently optimize a data warehouse.

What you'll learn

The resources offered by Microsoft SQL Server are geared towards architects, developers, and administrators in the database realm. In this course, Optimizing a Data Warehouse on the Microsoft SQL Server Platform, you'll delve into the tools and resources available in SQL Server for optimizing a data warehouse. First, you'll explore the options for indexing in a data warehouse. Next, you'll learn how to use Integration Services (SSIS) to import source data into your destination. Then, you'll discover what the database engine includes, such as, table partitioning, various indexes like clustered and columnstore, and bulk insert. Finally, you'll explore documentation options that includes data flows complementing a data dictionary. By the end of this course, you'll have the necessary knowledge needed to effectively optimize your data warehouse on the Microsoft SQL Server platform.

Table of contents

Course Overview

About the author

Thomas LeBlanc (Microsoft Data Platform MVP) is a Data Enthusiast in Baton Rouge, La. He started his IT career as a COBOL programmer in 1989 while at LSU. Since then he has spent years as a developer, DBA and Data Warehousing/Business Intelligence Architect. Community involve includes the local SQL Server and Analytics User Groups as well as SQLSaturday. Speaking engagements have been a blessing at SQL Pass Summit, Live 360, VSLive and IT Dev Connections.

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