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Cloud Computing and Virtualisation

Microsoft DP-050T00 - Migrate SQL Workloads to Azure

  • Length 2 days
  • Price $1870 inc GST
  • Version A
Course overview
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Why study this course

In this two-day course, the students will explore the objectives of data platform modernisation and how it is suitable for given business requirements. They will also explore each stage of the data platform modernisation process and define what tasks are involved at each stage, such as the assessment and planning phase.

Students will also learn the available migration tools and how they are suitable for each stage of the data migration process and how to migrate to the three target platforms for SQL based workloads; Azure Virtual Machines, Azure SQL Databases and Azure SQL Database Managed Instances. The student will learn the benefits and limitations of each target platform and how they can be used to fulfil both business and technical requirements for modern SQL workloads. They will explore the changes that may need to be made to existing SQL based applications, so that they can make best use of modern data platforms in Azure.

Please note: Microsoft has retired Azure training from the Software Assurance Training Voucher (SATV) catalogue. From 1st February 2020 we are no longer able to accept SATVs for this course.

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What you’ll learn

After completing this course, students will be able to:

  • Understand Data Platform Modernisation

  • Choose the right tools for Data Migration

  • Migrate SQL Workloads to Azure Virtual Machines

  • Migrate SQL Workloads to Azure SQL Databases

  • Migrate SQL Workloads to Azure SQL Database Managed Instance


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Who is the course for?

The audience for this course is data professionals and data architects who want to learn about migrating data platform technologies that exist on Microsoft Azure and how existing SQL based workloads can be migrated and modernised. The secondary audience for this course is individuals who manage data platforms or develop applications that deliver content from the existing data platform technologies.

We can also deliver and customise this training course for larger groups – saving your organisation time, money and resources. For more information, please contact us on 1800 853 276.


Course subjects

Module 1: Introducing Data Platform Modernisation
In this module, the students will learn the purpose of Data Platform Modernisation and they will outline the benefits that data platform modernisation can bring to an organisation. The students will then learn the various stages of a data platform migration projects to understand what is involve in each stage to maximise the chances of a successful Data Platform Modernisation Projects. Finally, students will explore the various data migration paths to understand how each approach is different and why you would choose one migration approach over another.

Lessons

  • Understand Data Platform Modernisation

  • Understanding the stages of migration

  • Data Migration Paths

Lab : Introducing Data Platform Modernisation

  • Understand Data Platform Modernisation

  • Understand the Stages of Migration

  • Data Migration Paths

Module 2: Choose the right tools for Data Migration
In this module, the student will be introduced to the Data Migration Guide as a starting point for the source of information that your organisation should use for step by step guidance for modernising your existing data platform. They will then learn the value of the Microsoft Assessment and Planning Toolkit to help discover the data assets that currently exist in their environments. The students will then learn the tools that can be used to help them to asses for compatibility or workload issues using both the Data Migration and Data Experimentation Assistant. The students will then see how the Azure Database Migration Service can be used to aid online migration of databases to reduce the amount of downtime. Finally, an overview of the SQL Migration assistant is provided to show student how to migrate no-SQL Server workloads.

Lessons

  • Discover the Database Migration Guide

  • Build your data estate inventory using Map Toolkit

  • Identify Migration candidates using Data Migration Assistant

  • Evaluate a Data workload using Database Experimentation Assistant

  • Data Migration using Azure Database Migration Service

  • Migrate non-SQL Server workloads to Azure using SQL Migration Assistant

Lab : Choose the right Tools for Data Migration

  • Identify Migration candidates using Data Migration Assistant

  • Evaluate a Data workload using Database Experimentation Assistant

Module 3: Migrate SQL Workloads to Azure Virtual Machines
In this module, the student will learn how to migrate on-premises SQL workloads to Azure Virtual Machines that are running SQL Server. Students will first explore the migration consideration when migrating from on-premises SQL Server to Azure Virtual Machines and the benefits they can gain by performing the migration. They will then learn the different migration options that can be performed when migrating to Azure Virtual Machines. This will include a look at the benefits and limitations of each approach. The students will finally look at SQL Server workloads that include High Availability and Disaster Recovery to ensure service continuity.

Lessons

  • Considerations of SQL Server to Azure VM Migrations

  • SQL Workloads to Azure VM Migration Options

  • Implementing High Availability and Disaster Recovery Scenarios

Lab : Migrating SQL Workloads to Azure Virtual Machines

Module 4: Migrate SQL Workloads to Azure SQL Databases
In this module, the students will explore what is Azure SQL Database and why it is a suitable target for SQL based workloads. It teaches students how to choose the appropriate SQL Server instance option and why it can fulfil business requirements for data platform modernisation. The modules will also show students how they can perform both offline and online migrations to Azure SQL Database. By doing so, they can assess which method maybe appropriate to their scenarios at work. It will also show the tools that can be used to enable the data migration process. Finally, they will explore the methods that can be used to load data into Azure SQL Database from an on-premises instance.

Lessons

  • Considerations for migrating to Azure SQL Database

  • Migrate to Azure SQL Database

  • Service continuity of Azure SQL Database

Lab : Migrate SQL Workloads to Azure SQL Databases

Module 5: Migrate SQL Workloads to Azure SQL Database Managed Instance
This module will explore what is an Azure SQL Database Managed Instance and why it is a suitable target for SQL based workloads. They also learn how Azure SQL Database Managed Instance can fulfil the business requirements for data platform modernisation. The students will then explore the tools that can be used to enable the data migration process to Azure SQL Database Managed Instance. They will then explore the methods and tools that can be used to load data into Azure SQL Database Managed Instance from an on-premises instance. Finally, they will learn some of the changes that may need to be made to existing SQL based applications so that they can use Azure SQL Database Managed Instance.

Lessons

  • What is Azure SQL Database managed instance

  • Migrate to Azure SQL Database managed instance

  • Synchronise data to Azure SQL Database managed instance

Lab : Migrate SQL Workloads to Azure SQL Database Managed Instance


Prerequisites

Successful students start this role with a fundamental knowledge of cloud computing concepts and professional experience in implementing SQL solutions.

Specifically:

  • Working with and maintaining SQL workloads

  • Experience with Azure, such as deploying and managing resources

Attend the below training course or have equivalent knowledge:


Terms & Conditions

The supply of this course by DDLS is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.



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By submitting an enquiry, you agree to our privacy policy and receiving email and other forms of communication from us. You can opt-out at any time.