Implementing a SQL Data Warehouse


This course provides students with the knowledge and skills to provision a Microsoft SQL Server database. The course covers SQL Server provision both on-premise and in Azure, and covers installing from new and migrating from an existing install.

Audience Profile

The primary audience for this course are database professionals who need to fulfil a Business Intelligence Developer role. They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing.


After completing this course, students will gain the skills to:

  • describe the key elements of a data warehousing solution   
  • describe the main hardware considerations for building a data warehouse 
  • implement a logical design for a data warehouse   
  • implement a physical design for a data warehouse   
  • create columnstore indexes   
  • implementing an Azure SQL Data Warehouse   
  • describe the key features of SSIS   
  • implement a data flow by using SSIS   
  • implement control flow by using tasks and precedence constraints 
  • create dynamic packages that include variables and parameters 
  • debug SSIS packages   
  • describe the considerations for implement an ETL solution 
  • implement Data Quality Services   
  • implement a Master Data Services model   
  • describe how you can use custom components to extend SSIS   
  • deploy SSIS projects   
  • describe BI and common BI scenarios.

Onsite Training?

If you need training for three or more people, ask us about training at your site. You can enjoy the convenience of reduced travel cost and time, as well as a familiar environment for your staff. Additionally, we can customise the course for your business needs.

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Course Info


  • Virtual Classroom AEST
  • 30/08/2021 - 3/09/2021
  • 4/10/2021 - 8/10/2021
  • 6/12/2021 - 10/12/2021

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