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Google Cloud Spanner: Design, Scale & Operate Databases

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Whizlabs

Google Cloud Spanner: Design, Scale & Operate Databases

Whizlabs Instructor

Instructor: Whizlabs Instructor

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Design globally scalable, highly available, and strongly consistent database architectures using Cloud Spanner

  • Optimize database performance, cost, and reliability in distributed cloud environments

  • Deploy, manage, and scale Cloud Spanner databases for real-world enterprise applications

Details to know

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Recently updated!

March 2026

Assessments

4 assignments

Taught in English

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There are 2 modules in this course

Welcome to Week 1 of the course. Week 1 introduces the foundational concepts required to design reliable database architectures using Cloud Spanner. You will learn how to analyze database capacity requirements, evaluate application connectivity options, and determine the most appropriate database solutions for different workloads on Google Cloud. This module also explores high availability and disaster recovery strategies, database monitoring and troubleshooting techniques, and designing backup and recovery solutions to protect mission-critical data. By the end of this week, you will understand how to design reliable and resilient Cloud Spanner database architectures that support enterprise workloads.

What's included

9 videos3 readings2 assignments1 discussion prompt

Welcome to Week 2 of the course. Week 2 focuses on optimizing database performance, automating database operations, and deploying scalable database architectures using Cloud Spanner. You will learn how to optimize database cost and performance, automate operational database tasks, and implement data migration and replication strategies when moving workloads to Google Cloud. This module also includes practical demonstrations that show how to manage Cloud Spanner environments, including evaluating backup and recovery operations, monitoring database metrics, configuring read replicas, and implementing scaling strategies. By the end of this week, you will be able to deploy scalable and highly available Cloud Spanner databases and optimize them for enterprise-scale workloads.

What's included

9 videos2 readings2 assignments

Instructor

Whizlabs Instructor
Whizlabs
145 Courses 113,354 learners

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