Microsoft Cloud Workshop: Migrate EDW to Azure SQL Data Warehouse (MOC 40517)
This course is currently not scheduled on the open calendar, but can be organized on request.
Request CourseDuration
1 day(s)
Audience
This workshop is intended for Cloud Architects and IT professionals who have architectural expertise of infrastructure and solutions design in cloud technologies and want to learn more about Azure and Azure services as described in the ‘About this Course’ and ‘At Course Completion’ areas. Those attending this workshop should also be experienced in other non-Microsoft cloud technologies, meet the course prerequisites, and want to cross-train on Azure.
Prerequisites
Objectives
At the end of this workshop, you will be better able to plan and implement a migration of your existing on-premises enterprise data warehouse to Azure SQL Data Warehouse and integrating it with both cloud-based and on-premises services and data sources.
Methods
Classroom training with hands-on exercises
Description
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.
Contents
Course Outline
Module 1: Whiteboard Design Session * Migrate EDW to Azure SQL Data Warehouse
Lessons
- Review the customer case study
- Design a proof of concept solution
- Present the solution
Module 2: Hands-on Lab * Migrate EDW to Azure SQL Data Warehouse
Lessons
- Configure Azure Services
- Data and schema preparation
- Migrate the data to Azure SQL Data Warehouse
- Investigate table distribution in Azure SQL Data Warehouse
- Create an Analysis Services Model
- Visualize data with Power BI Desktop