Course Details
Course Outline
1 - Introducing Data Platform Modernization
Understand Data Platform ModernizationUnderstanding the stages of migrationData Migration Paths
2 - Choose the right tools for Data Migration
Discover the Database Migration GuideBuild your data estate inventory using Map ToolkitIdentify Migration candidates using Data Migration AssistantEvaluate a Data workload using Database Experimentation AssistantData Migration using Azure Database Migration ServiceMigrate non-SQL Server workloads to Azure using SQL Migration Assistant
3 - Migrating SQL Workloads to Azure Virtual Machines
Considerations of SQL Server to Azure VM MigrationsSQL Workloads to Azure VM Migration OptionsImplementing High Availability and Disaster Recovery Scenarios
4 - Migrate SQL Workloads to Azure SQL Databases
Choose the right SQL Server Instance option in AzureMigrate SQL Server to Azure SQL DB offlineMigrate SQL Server to Azure SQL DB onlineLoad and Move data to Azure SQL Database
5 - Migrate SQL Workloads to Azure SQL Database Managed Instance
Evaluate migration scenarios to SQL Database Managed InstanceMigrate to SQL Database Managed instanceLoad and Move data to SQL Database Managed instanceApplication Configuration and Optimization
Actual course outline may vary depending on offering center. Contact your sales representative for more information.
Who is it For?
Target Audience
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.
Prerequisites
Other 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