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Microsoft Cloud Workshop: Migrate EDW to Azure SQL Data Warehouse (MOC 40517)

Deze cursus is momenteel niet ingepland op de open kalender, maar kan op aanvraag georganiseerd worden.

Cursus aanvragen

Aantal dagen

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