Migrating your Mainframe Data to Microsoft Azure

Duration: 5 days (Level 200)

This outline is just a sample of what the overall workshop will cover.
I did not include any labs, best practices, use cases, and add on’ like security and network dependence concerns- these are available with a no-cost consultation.

This is enough to get your feet wet – safe journey!

Day 1: Introduction and Planning

  • Overview of mainframe data migration to Microsoft Azure
  • Understanding the benefits, challenges, and considerations of migrating mainframe data to Azure
  • Identifying business objectives and defining the scope of the migration project
  • Assessing the existing mainframe infrastructure, applications, and data architecture
  • Planning the migration timeline, resource allocation, and roles and responsibilities
  • Exploring Azure services and capabilities relevant to mainframe data migration

Day 2: Azure Architecture and Data Preparation

  • Understanding Azure architecture and services for hosting mainframe data
  • Designing the target Azure environment and selecting appropriate Azure services
  • Defining data governance and security policies for Azure
  • Preparing mainframe data for migration, including data cleansing, transformation, and optimization
  • Addressing data format or schema differences between the mainframe and Azure environment
  • Implementing data encryption and security measures in Azure

Day 3: Data Migration Strategies and Tools

  • Exploring various data migration strategies (e.g., offline data transfer, online migration, hybrid approach)
  • Selecting the appropriate data migration strategy based on requirements and constraints
  • Understanding Azure Data Migration tools and services
  • Planning and executing a test migration to validate data migration process
  • Monitoring and ensuring data integrity and completeness during migration
  • Replicating and synchronizing data between mainframe and Azure during the migration process

Day 4: Application Migration and Integration

  • Identifying mainframe applications for migration to Azure
  • Assessing the compatibility of mainframe applications with Azure (rehosting, replatforming, refactoring, or replacing)
  • Implementing application migration strategies and tools for Azure
  • Integrating migrated applications with Azure services, APIs, and platforms
  • Testing and validating the functionality and performance of migrated applications in Azure
  • Addressing post-migration application dependencies and issues

Day 5: Security, Monitoring, and Optimization

  • Implementing robust security measures in Azure, including access controls, encryption, and authentication
  • Ensuring compliance with relevant regulations and data protection standards in Azure
  • Setting up monitoring and performance management mechanisms in Azure
  • Optimizing Azure resources for cost efficiency and scalability
  • Establishing disaster recovery and backup mechanisms for mainframe data in Azure
  • Reviewing best practices, lessons learned, and post-migration evaluation

Note: This workshop is an outline and can be customized based on the specific requirements and expertise level of the participants. The duration and topics can be adjusted to accommodate specific needs and depth of coverage.