GCP200EDBM

Enterprise Database Migration

This course is intended to give architects, engineers, and developers the skills required to help enterprise customers architect, plan, execute, and test database migration projects. Through a combination of presentations, demos, and hands-on labs participants move databases to GCP while taking advantage of various GCP 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.

Google Cloud
✓ Official training Google CloudLevel Intermediate⏱️ 4 days (28h)

What you will learn

  • 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.

Prerequisites

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

Target audience

  • Engineers planning a data migration to GCP, 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.

Training Program

10 modules to master the fundamentals

Objectives
  • 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.
Activities

Lecture

Objectives
  • 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.
Activities

Lecture, labs, and activity

Objectives
  • Migrate to the cloud using Google's implementation methodology
  • Perform the key database migration activities
  • Choose the appropriate database migration approach.
Activities

Lecture and activity

Objectives
  • 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.
Activities

Lecture

Objectives
  • 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.
Activities

Lecture and labs

Objectives
  • 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.
Activities

Lecture and labs

Objectives
  • 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.
Activities

Lecture and lab

Objectives
  • Use unit, integration, and regression testing techniques to ensure database migration success.
  • Monitor your migration projects with Google tools.
Activities

Lecture and labs

Objectives
  • 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
Activities

Lecture and lab

Objectives
  • 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.
Activities

Lecture and activity

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Quality Process

SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach

Teaching Methods Used
  • Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
  • Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
  • Guided Labs — Guided practical exercises on software, hardware, or technical environments.
  • Quiz / MCQ — Quick knowledge check (paper-based or digital via tools like Kahoot/Klaxoon).
Evaluation and Monitoring System

The achievement of training objectives is evaluated at multiple levels to ensure quality:

  • Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
  • Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
  • Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.

3,160€ excl. VAT

per learner