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Enterprise Database Migration

WGAC-GGL-EDM

Google Cloud Training Courses Certification

Schedule

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Description

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.

  • GCP Professional Cloud Architect and/or Professional Data Engineer certification
  • Understanding of relational and NoSQL database design
  • Database development experience using SQL
  • Programming experience

  • 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.

The description for this course is currently being updated.
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