Course Overview
In this course, the students will explore the objectives of data platform modernization and how it is suitable for given business requirements. They will also explore each stage of the data platform modernization 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.
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The student will learn 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. The student 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.
Who is it 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 modernized. The secondary audience for this course is individuals who manage data platforms or develop applications that deliver content from the existing data platform technologies.
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Entry Requirements
In addition to their professional experience in SQL Server, students who take this training should have technical knowledge equivalent to the following course:Ā
This PRINCE2Ā® Foundation Pre-Course Video resource is for use in preparation for the PRINCE2Ā® Foundation Course and those returning for PRINCE2Ā® Practitioner.āÆ Each short video covers a key area within the PRINCE2Ā® method plus information on the PRINCE2Ā® exams.āÆ They are primarily designed to introduce or revise PRINCE2Ā® terminology, concepts and activities to help you get ahead on your PRINCE2Ā® course.Ā
All delegates should have passed the PRINCE2Ā® Foundation examination taken on or after 1st Jan 2009, or hold one of theĀ following:-Ā
Project Management Institute (PMI)Ā® details atāÆwww.pmi.org:Ā
- Project Management Professional (PMP)Ā®Ā
- Certified Associate in Project Management (CAPM)Ā®Ā
PMP is a registered mark of the Project Management Institute, Inc.Ā
International Project Management Association (IPMA) details atāÆhttp://ipma.ch/:Ā
- IPMA Level AĀ® (Certified Projects Director)Ā
- IPMA Level BĀ® (Certified Senior Project Manager)Ā
- IPMA Level CĀ® (Certified Project Manager)Ā
IPMA Level DĀ® (Certified Project Management Associate).Ā
The Exam
There is no exam for this course.Ā
Course Objectives
At the end of this course, students willĀ be able to:Ā
- Understand Data Platform ModernizationĀ
- Choose the right tools for Data MigrationĀ
- Migrate SQL Workloads to Azure Virtual MachinesĀ
- Migrate SQL Workloads to Azure SQL DatabasesĀ
- Migrate SQL Workloads to Azure SQL Database Managed Instance.Ā
Syllabus – Key points
Module 1: Introducing Data Platform ModernizationĀ
In this module, the students will learn the purpose of Data Platform Modernization and they will outline the benefits that data platform modernization can bring to an organization. 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 Modernization 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.Ā
LessonsĀ
- Understand Data Platform ModernizationĀ
- Understanding the stages of migrationĀ
- Data Migration PathsĀ
Lab : Introducing Data Platform ModernizationĀ
- Understand Data Platform ModernizationĀ
- Understand the Stages of MigrationĀ
- Data Migration PathsĀ
After completing this module, students will be able to:Ā
- Understand Data Platform ModernizationĀ
- Understand the Stages of MigrationĀ
Module 2: Choose the right tools for Data MigrationĀ
In this module, the student will be introduced to the data Migration Guide as a starting point for the source of information that your organization should use for step by step guidance for modernizing 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 inĀ theirĀ environments. The students will then learn the tools that can be used to help them toĀ assessĀ 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 usedĀ 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 workload.Ā
LessonsĀ
- Discover the Database Migration GuideĀ
- Build your data estate inventory using Map ToolkitĀ
- Identify Migration candidates using Data Migration AssistantĀ
- Evaluate a Data workload using Database Experimentation AssistantĀ
- Data Migration using Azure Database Migration ServiceĀ
- Migrate non-SQL Server workloads to Azure using SQL Migration AssistantĀ
Lab : Choose the right Tools for Data MigrationĀ
- Identify Migration candidates using Data Migration AssistantĀ
- Evaluate a Data workload using Database Experimentation AssistantĀ
After completing this module, students will be able to:Ā
- Identify Migration candidates using Data Migration AssistantĀ
- Evaluate a Data workload using Database Experimentation AssistantĀ
Module 3: Migrating SQL Workloads to Azure Virtual MachinesĀ
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.Ā
LessonsĀ
- Considerations of SQL Server to Azure VM MigrationsĀ
- SQL Workloads to Azure VM Migration OptionsĀ
- Implementing High Availability and Disaster Recovery ScenariosĀ
Lab : Migrating SQL Workloads to Azure Virtual MachinesĀ
After completing this module, students will be able to:Ā
- Considerations of SQL Server to Azure VM MigrationsĀ
- SQL Workloads to Azure VM Migration OptionsĀ
- Implementing High Availability and Disaster Recovery ScenariosĀ
Module 4: Migrate SQL Workloads to Azure SQL DatabasesĀ
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 modernization. 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.Ā
LessonsĀ
- Choose the right SQL Server Instance option in AzureĀ
- Migrate SQL Server to Azure SQL DB offlineĀ
- Migrate SQL Server to Azure SQL DB onlineĀ
- Load and Move data to Azure SQL DatabaseĀ
Lab : Migrate SQL Workloads to Azure SQL DatabasesĀ
After completing this module, students will be able to:Ā
- Choose the right SQL Server Instance option in AzureĀ
- Migrate SQL Server to Azure SQL DB offlineĀ
- Migrate SQL Server to Azure SQL DB onlineĀ
- Load and Move data to Azure SQL DatabaseĀ
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