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Google Cloud Professional Database Engineer

IT-2614

Course Code

4 Days

Duration

4

Upcoming Dates

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Sector Name

Information Technology

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16 Nov 2026 | 19 Nov 2026
Dubai, UAE
$4,250
Limited Seats
04 Apr 2027 | 07 Apr 2027
Riyadh, KSA
$4,250
Upcoming
21 Jun 2027 | 24 Jun 2027
Dubai, UAE
$4,250
Upcoming
30 Aug 2027 | 02 Sept 2027
Madrid, Spain
$4,950
Upcoming

Course Introduction

In today’s cloud-first business environment, organisations require professionals capable of designing, managing, and optimizing databases on cloud platforms. The Google Cloud Professional Database Engineer training program equips IT and data professionals with the skills needed to build high-performance, scalable, and secure database solutions on Google Cloud.

 

Participants will learn how to design cloud-native databases, implement data storage and retrieval strategies, and optimize query performance. The course emphasizes practical skills in SQL, database replication, backup strategies, disaster recovery, and data security while aligning with Google Cloud best practices.

 

This corporate training program also covers advanced topics such as database performance monitoring, high-availability architecture, cloud migration, and integration with other Google Cloud services. By mastering these skills, database engineers can help organisations improve data reliability, accessibility, and operational efficiency in cloud environments.

 

Through hands-on labs, real-world scenarios, and project-based exercises, participants gain the expertise to manage large-scale cloud databases, ensure data integrity, and implement robust security policies, enabling businesses to leverage cloud data solutions for strategic decision-making and long-term growth

Course Objectives

  • Understand cloud architecture and resource access on Google Cloud.
  • Create and manage Cloud SQL instances with multiple connection methods and security configurations.
  • Perform backup, restore, migration, replication, and failover operations.
  • Work with distributed databases such as Cloud Spanner and AlloyDB for PostgreSQL.
  • Explore NoSQL databases like Firestore, Datastore, and BigTable.
  • Set up and manage in-memory caching solutions using Memorystore (Redis and Memcached).
  • Migrate databases from on-premises to Google Cloud.
  • Analyze pricing models and manage cloud database costs effectively.
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