EDMGOGoogleGO-EDM1.0<ul> <li>Plan, execute, test, and monitor simple and complex enterprise database migrations to Google Cloud.</li><li>Evaluate on-premises database architectures and plan migrations to cloud-optimized deployments.</li><li>Choose appropriate Google Cloud database targets based on on-premises data sources.</li><li>Migrate SQL Server databases to Cloud SQL and Compute Engine.</li><li>Run Oracle databases on Google Cloud bare metal.</li><li>Recognize and overcome the real-world challenges of moving data to prevent data loss, preserve data integrity, and minimize downtime.</li><li>Test and monitor data migration projects.</li><li>Leverage tools to automate data migration.</li><li>Make the business case for moving databases to Google Cloud.</li></ul><ul> <li>GCP Professional Cloud Architect and/or Professional Data Engineer certification</li><li>Understanding of relational and NoSQL database design</li><li>Database development experience using SQL</li><li>Programming experience</li></ul><p>Engineers planning a data migration to GCP; Engineers working on a database migration project; and Technical managers, IT decision-makers, and others who want to understand the benefits, risks, rewards, and processes of migrating databases to the cloud.</p><h4>Module 01: Migrating Enterprise Databases to the Cloud</h4><ul> <li>Get a high-level solution overview of use cases, customers, and competitors.</li><li>Understand traditional database architectures.</li><li>Optimize databases for the cloud.</li><li>Architect cloud databases for high-availability, scalability, and durability.</li></ul><h4>Module 02: Google Cloud Data Migration Solutions</h4><ul> <li>Evaluate the database solutions available on Google Cloud.</li><li>Run databases on Google Cloud infrastructure using Compute Engine.</li><li>Leverage Kubernetes and GKE for deploying databases.</li><li>Use Cloud SQL for managed database solutions.</li><li>Provision Bare Metal Solution for Oracle databases.</li><li>Estimate the cost of database solutions.</li></ul><h4>Module 03: Google Implementation Methodology</h4><ul> <li>Migrate to the cloud using Google&rsquo;s implementation methodology</li><li>Perform the key database migration activities</li><li>Choose the appropriate database migration approach.</li></ul><h4>Module 04:Migration Strategies</h4><ul> <li>Lift and shift databases from on-premises to Google Cloud.</li><li>Backup and restore databases from on-premises to Google Cloud services.</li><li>Migrate databases to the cloud with no downtime.</li><li>Optimize databases for the cloud.</li></ul> <h4>Module 05: Networking for Secure Database Connectivity</h4><ul> <li>Build secure networks to host databases and database client applications.</li><li>Allow secure communication across networks using VPC Peering, VPNs, and interconnect.</li><li>Control access to databases using firewall rules.</li><li>Automate network infrastructure using Terraform.</li></ul><h4>Module 06: Migrating SQL Server Databases to Google Cloud</h4><ul> <li>Lift and shift SQL Server databases using Compute Engine.</li><li>Employ Cloud SQL for managed SQL Server databases.</li><li>Architect SQL Server for security, high availability, and disaster recovery.</li><li>Configure SQL Server to run with Kubernetes on GKE.</li></ul><h4>Module 07: Migrating Oracle Databases to Google Cloud</h4><ul> <li>Explain why running Oracle on Google Cloud makes sense.</li><li>Review the technical specs of Oracle BMS.</li><li>Define common use cases for running Oracle on Google Cloud.</li></ul><h4>Module 08: Testing and Monitoring Databases in Google Cloud</h4><ul> <li>Use unit, integration, and regression testing techniques to ensure database migration success.</li><li>Monitor your migration projects with Google tools.</li></ul><h4>Module 09: Google Cloud Data Migration Tools</h4><ul> <li>Move large amounts of data to the cloud using Google transfer services.</li><li>Program data processing and ETL pipelines using Cloud Data Fusion.</li><li>Create workflows using Composer.</li></ul><h4>Module 10: Making the Business Case for Moving to Google Cloud</h4><ul> <li>Write a business case to justify a database migration.</li><li>Perform risk and cost/benefit analysis on a cloud migration project.</li><li>Estimate the costs associated with database migration.</li></ul>- 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 prevent 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.- GCP Professional Cloud Architect and/or Professional Data Engineer certification - Understanding of relational and NoSQL database design - Database development experience using SQL - Programming experienceEngineers planning a data migration to GCP; Engineers working on a database migration project; and Technical managers, IT decision-makers, and others who want to understand the benefits, risks, rewards, and processes of migrating databases to the cloud.Module 01: Migrating Enterprise Databases to the Cloud - 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. Module 02: Google Cloud Data Migration Solutions - 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. Module 03: Google Implementation Methodology - Migrate to the cloud using Google’s implementation methodology - Perform the key database migration activities - Choose the appropriate database migration approach. Module 04:Migration Strategies - Lift and shift databases from on-premises to Google Cloud. - Backup and restore databases from on-premises to Google Cloud services. - Migrate databases to the cloud with no downtime. - Optimize databases for the cloud. Module 05: Networking for Secure Database Connectivity - 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. Module 06: Migrating SQL Server Databases to Google Cloud - 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. Module 07: Migrating Oracle Databases to Google Cloud - 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. Module 08: Testing and Monitoring Databases in Google Cloud - Use unit, integration, and regression testing techniques to ensure database migration success. - Monitor your migration projects with Google tools. Module 09: Google Cloud Data Migration 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. Module 10: Making the Business Case for Moving to Google Cloud - 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.4 jours2495.002600.002600.002640.003445.003170.00