Please provide an introduction to the workshop. For example:

Trey Research Inc. looks at the old way of doing things in retail and introduces innovative experiences that delight customers and drive sales. Their latest initiative focuses on intelligent vending machines that support commerce, engagement analytics, and intelligent promotions.

Month, year (date last reviewed)

Please list the target audience for this workshop. For example:

• Application developer
• Infrastructure architect
• Database administrator
• AI developer
• Data scientist

Please provide descriptions of the overall workshop, the whiteboard design session and hands on lab. For example:

In this workshop, you will look at the process of migrating an on-premises data warehouse to Azure SQL Data Warehouse. Throughout the whiteboard design session and hands-on lab, you will look at the planning process for data warehouse migration, identifying schema and data incompatibilities, efficiently migrating data from on-premises databases to the cloud, data distribution in Azure SQL Data Warehouse, migrating ETL jobs to Azure Data Factory, and supporting ad-hoc workloads in an Azure SQL Data Warehouse through Azure Analysis Services.

At the end of this workshop, you will be better able to [deliver, demonstrate, solve, present, migrate, build, design, architect, construct, modify] ….

In this whiteboard design session, you will work in a group to look at the process of migrating an on-premises data warehouse to Azure SQL Data Warehouse. The design session will cover planning for a data warehouse migration, data and schema preparation, data loading, optimizing the data distribution, and building a solution to support ad-hoc queries.

At the end of this whiteboard design session, you will be better able to [deliver, demonstrate, solve, present, migrate, build, design, architect, construct, modify] ….

Continue to the Whiteboard design session documents folder.

In this hands-on lab, you will migrate an existing on-premises enterprise data warehouse to the cloud. You will investigate the current data warehouse to identify any incompatibilities, you will export the data from the on-premises data warehouse and transfer it to Azure Blob Storage. Then you will load the data into the warehouse. Finally, you will integrate the warehouse by migrating ETL to Azure Data Factory and supporting ad-hoc access by implementing Azure Analysis Services.

At the end of this hands-on lab, you will be better able to [deliver, demonstrate, solve, present, migrate, build, design, architect, construct, modify] ….

Continue to the Hands-on lab documents folder.

Please list the services and products that are highlighted in the workshop. For example:

• Azure SQL Data Warehouse
• Azure Data Factory
• Azure Analysis Services
• Azure Storage

This is an internal reference and will be updated by project PM.

This should be a list of and links to prereqs, architectural diagrams, supporting docs, or briefing decks related to the material.

• MCW

We welcome feedback and comments from Microsoft SMEs & learning partners who deliver MCWs.

Having trouble?

• First, verify you have followed all written lab instructions (including the Before the Hands-on lab document).
• Next, submit an issue with a detailed description of the problem.
• Do not submit pull requests. Our content authors will make all changes and submit pull requests for approval.

If you are planning to present a workshop, review and test the materials early! We recommend at least two weeks prior.