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Through a combination of presentations, demos, and hands-on labs, you’ll gain an understanding of how to move databases to Google Cloud while taking advantage of various services.
This course covers how to move on-premises enterprise databases like SQL Server to Google Cloud (Compute Engine and Cloud SQL) and Oracle to Google Cloud Bare Metal. You’ll learn how to plan, execute, test, and monitor simple and complex enterprise database migrations to Google Cloud, as well as evaluate on-premises database architectures and plan migrations to cloud-optimized deployments.
You’ll also look at how to test and monitor data migration projects while leveraging the appropriate tools to automate data migration. Finally, we’ll show you how to make the business case for moving databases to Google Cloud.
Our Enterprise Database Migration course is available as a private training session that can be delivered via Virtual Classroom or at a location of your choice in South Africa.
Course overview
Who should attend:
This course is suitable for:
- Engineers planning a data migration to Google Cloud
- Engineers working on a database migration project
- Technical managers, IT decision-makers, and others who want to understand the benefits, risks, rewards and processes of migrating databases to the cloud
What you'll learn:
By the end of this course, you will be able to:
- Plan, execute, test and monitor simple and complex enterprise database migrations to Google Cloud
- Evaluate on-premises database architectures and plan migrations to cloud-optimized deployments
- Choose appropriate Google Cloud database targets based on on-premises data sources
- Migrate SQL Server databases to Cloud SQL and Compute Engine
- Run Oracle databases on Google Cloud Bare Metal
- Recognize and overcome the real-world challenges of moving data to prevents data loss, preserve data integrity, and minimize downtime
- Test and monitor data migration projects
- Leverage tools to automate data migration
- Make the business case for moving databases to Google Cloud
To get the most out of this course, participants should have:
- The Google Cloud Professional Cloud Architect and / or Professional Data Engineer certification
- An understanding of relational and NoSQL database design
- Database development experience using SQL
- Programming experience
Course agenda
- Get a high-level solution overview of use cases, customers, and competitors
- Understand traditional database architectures
- Optimize databases for the cloud
- Architect cloud databases for high-availability, scalability, and durability
- Evaluate the database solutions available on Google Cloud
- Run databases on Google Cloud infrastructure using Compute Engine
- Leverage Kubernetes and GKE for deploying databases
- Use Cloud SQL for managed database solutions
- Provision Bare Metal Solution for Oracle databases
- Estimate the cost of database solutions
- Migrate to the cloud using Google's implementation methodology
- Perform the key database migration activities
- Choose the appropriate database migration approach
- Lift and shift databases from on-premises to Google Cloud
- Back-up and restore databases from on-premises to Google Cloud services
- Migrate databases to the cloud with no downtime
- Optimize databases for the cloud
- Build secure networks to host databases and database client applications
- Allow secure communication across networks using VPC Peering, VPNs, and interconnect
- Control access to databases using firewall rules
- Automate network infrastructure using Terraform
- Lift and shift SQL Server databases using Compute Engine
- Employ Cloud SQL for managed SQL Server databases
- Architect SQL Server for security, high availability, and disaster recovery
- Configure SQL Server to run with Kubernetes on GKE
- Explain why running Oracle on Google Cloud makes sense
- Review the technical specs of Oracle BMS
- Define common use cases for running Oracle on Google Cloud
- Use unit, integration, and regression testing techniques to ensure database migration success
- Monitor your migration projects with Google tools
- Move large amounts of data to the cloud using Google transfer services
- Program data processing and ETL pipelines using Cloud Data Fusion
- Create workflows using Composer
- Write a business case to justify a database migration
- Perform risk and cost / benefit analysis on a cloud migration project
- Estimate the costs associated with database migration