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- Cloud
Google Cloud Professional Database Engineer
The Google Cloud Professional Cloud Database Engineer certification validates expertise in designing, creating, managing, migrating, and troubleshooting database solutions on Google Cloud Platform. This path prepares learners to design scalable and highly available cloud database solutions, manage multi-database environments, execute data migrations, and deploy resilient databases at scale.
This learning path is actively in production. More content will be added to this page as it gets published and becomes available in the library. Planned content includes:
- Google Cloud Professional Database Engineer: Designing Cloud Database Solutions (video course) - Google Cloud Professional Database Engineer: Managing Multi-Database Solutions on Google Cloud (video course) - Google Cloud Professional Database Engineer: Migrating Data Solutions (video course) - Google Cloud Professional Database Engineer: Deploying Scalable and Highly Available Databases (video course)
Content in this path
Google Cloud Professional Database Engineer
Watch the following courses to get learning about designing, managing, migrating, and deploying database solutions on Google Cloud!
Try this certification path for free
Build confidence to ace your certification exam with a variety of prep tools, including video courses, labs, and practice exams.
What You'll Learn
- How to design cloud database solutions that are scalable and cost-effective on Google Cloud
- How to manage multi-database solutions across Google Cloud services
- How to migrate existing data solutions to Google Cloud
- How to deploy scalable and highly available databases in a cloud environment
- Google recommends having 5+ years of overall database and IT experience, including at least 2 years of hands-on experience working with Google Cloud database solutions before attempting this certification. Learners should also have a strong foundation in SQL and familiarity with core database concepts such as normalization, indexing, and data integrity.
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