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
✓ Formation officielle Google CloudNiveau Intermediate⏱️ 4 jours (28h)

Ce que vous allez apprendre

  • 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.

Prérequis

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

Public cible

  • 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.

Programme de la Formation

10 modules pour maîtriser les fondamentaux

Objectifs

  • 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.

Activités

Lecture

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.

Prochaines sessions

2 mars 2026
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23 mars 2026
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16 novembre 2026
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2 800€ HT

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