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Google Cloud Professional Database Engineer Training

Last Updated: 08-03-2025

The Google Cloud Professional Database Engineer Training course is designed to help database administrators and cloud professionals gain the knowledge and skills necessary to design, implement, manage, and optimize Google Cloud databases and data storage solutions. This hands-on course focuses on essential Google Cloud Platform (GCP) database services such as Cloud SQL, Cloud Spanner, BigQuery, and Firestore. You’ll learn how to architect scalable, secure, and highly available database solutions, while also diving into advanced topics like data migration, backup strategies, and database performance tuning. Whether you're preparing for the Google Cloud Professional Database Engineer certification or looking to enhance your cloud database management skills, this course will provide you with the expertise to succeed in managing databases at scale on Google Cloud.

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Schedule Learners Course Fee Register Your Interest
April 28th - 02nd
09:00 - 17:00 (CST)
Live Virtual Classroom
USD 1,600
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April 21st - 25th
09:00 - 17:00 (CST)
Live Virtual Classroom
USD 1,600
May 12th - 23rd
09:00 - 13:00 (CST)
Live Virtual Classroom
USD 1,600
June 02nd - 06th
09:00 - 17:00 (CST)
Live Virtual Classroom
USD 1,600

Course Prerequisites

  • Experience with traditional database technologies like MySQL, PostgreSQL, or SQL Server.
  • Familiarity with cloud computing concepts and services (preferably Google Cloud).
  • Basic knowledge of networking, storage, and virtual machines.
  • Experience with SQL and database administration tasks is recommended.
  • Understanding of basic Google Cloud services is helpful but not required.

 

Learning Objectives

By the end of this Google Cloud Professional Database Engineer Training, you will be able to:

  1. Design and implement highly available, scalable, and secure database solutions on Google Cloud Platform using services like Cloud SQL, Cloud Spanner, Firestore, and BigQuery.
  2. Architect and manage relational and NoSQL databases on Google Cloud, based on specific use cases and performance requirements.
  3. Use Cloud Spanner for globally distributed databases with horizontal scalability.
  4. Migrate on-premise databases to Google Cloud using Database Migration Service and BigQuery Data Transfer Service.
  5. Implement backup and disaster recovery strategies for cloud databases to ensure high availability and business continuity.
  6. Optimize database performance, including tuning query performance, indexing, and scaling database resources.
  7. Configure and manage Cloud SQL for MySQL, PostgreSQL, and SQL Server, including high availability and replication strategies.
  8. Implement data security best practices, including encryption, access control, and data masking for sensitive information.
  9. Monitor and manage database performance and health using Google Cloud Monitoring and Cloud Logging.
  10. Prepare for the Google Cloud Professional Database Engineer certification exam, covering all key topics and exam strategies.

Target Audience

This course is ideal for:

  • Database administrators and database engineers who want to become proficient in managing databases on Google Cloud Platform.
  • Cloud professionals aiming to gain Google Cloud certification as a Professional Database Engineer.
  • Data engineers and system architects who need to design and implement high-performance, scalable databases on GCP.
  • Developers looking to optimize database performance and integrate Google Cloud databases into their applications.
  • IT professionals wanting to expand their skill set in cloud database technologies and enhance their career with Google Cloud expertise.

Course Modules

  • Google Cloud Databases Overview

    • Overview of Google Cloud database products: Cloud SQL, Cloud Spanner, Bigtable, Firestore
    • Comparing SQL vs NoSQL vs Big Data databases
    • Designing for high availability and disaster recovery

  • Cloud SQL and Datastore

    • Managing Cloud SQL instances (PostgreSQL, MySQL, and SQL Server)
    • Using Cloud Datastore for scalable NoSQL storage
    • Backups, restores, and automated maintenance in Cloud SQL

  • Cloud Spanner and Bigtable

    • Working with Cloud Spanner for global, distributed databases
    • Setting up Cloud Bigtable for low-latency, scalable workloads
    • Database migration strategies between services

  • Database Security and Compliance

    • Configuring access control for databases
    • Encryption, auditing, and compliance for databases in Google Cloud
    • Managing IAM roles and permissions for databases

  • Database Performance and Optimization

    • Scaling and tuning database performance
    • Query optimization techniques for SQL and NoSQL databases
    • Monitoring database health with Google Cloud Monitoring

What Our Learners Are Saying

The training, courseware, and lab experience were insightful and valuable. Keep up the great work and learning experience!

Nitish A. Anand – Accenture

Course: SC-200: Microsoft Security Operations Analyst
Date: 15th Jan 2025

The instructor was professional and very content.

Justine Daudi Mlimbilah – Bank of Africa, Tanzania

Course: MD-102: Microsoft 365 Endpoint Administrator
Date: 20th Dec 2024

The instructor was so knowledgeable & humble. Rare to find someone so confident but so down to earth these days. So appreciative to him.”

Mohd. Hassan – Ministry of Finance, UAE

Course: AZ-700: Designing and Implementing Microsoft Azure Networking Solutions
Date: 31st July 2024

Instructor is experienced and knowledgeable in guiding.

Dharshini Mahalaxmi – Dr. MGR Education and Research Institute, Chennai, India

Course: SC-300: Microsoft Identity and Access Administrator
Date: 4th May 2024