15 Common Management Interview Questions and How to Prepare
March 17, 2025
Article
Cultivate your career with expert-led programs, job-ready certificates, and 10,000 ways to grow. All for $25/month, billed annually. Save now
Advance your cloud career in database engineering
Instructor: Google Cloud Training
11,176 already enrolled
Included with
(340 reviews)
Recommended experience
Intermediate level
Experience with database development using SQL; general programming skills; understanding of relational and NoSQL database design; several years of industry experience recommended for the certification exam.
(340 reviews)
Recommended experience
Intermediate level
Experience with database development using SQL; general programming skills; understanding of relational and NoSQL database design; several years of industry experience recommended for the certification exam.
Learn the skills needed to be successful in a cloud database engineer role
Prepare for the Professional Cloud Database Engineer certification exam
Learn how to plan, execute, test, and monitor enterprise database migrations to Google Cloud
Migrate and manage Cloud SQL, Cloud Spanner, and Bigtable databases
Add to your LinkedIn profile
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
A Database Engineer designs, creates, manages, migrates, and troubleshoots databases used by applications to store and retrieve data. This learning path guides you through a curated collection of on-demand courses, labs, and skill badges that provide you with real-world, hands-on experience using Google Cloud technologies essential to the Database Engineer role. Once you complete the path, check out our catalog for 700+ labs and courses to keep going on your professional journey.
Applied Learning Project
This specialization incorporates labs using our Qwiklabs platform. These components will let you gain practical hands-on experience with the concepts explained in the video modules. In addition, you will learn about and practice working with Google Cloud databases such as Cloud SQL, Cloud Spanner, and Bigtable.
Learn about the labs platform, and identify key features of a lab environment, and learn how to access the Cloud Console with specific credentials.
Learn about Google Cloud projects, and identify common misconceptions about them. Learn about the API library, and examine its chief features.
Learn how to use the Google Cloud Navigation menu to identify types of Google Cloud services
Learn about primitive roles, and use the Cloud IAM service to inspect actions available to specific users.
Identify the purpose and value of Google Cloud products and services.
Define how infrastructure is organized and controlled in Google Cloud
Explain how to create a basic infrastructure in Google Cloud
Select and use Google Cloud storage options
how to create and connect to a Google Cloud SQL MySQL instance and perform basic SQL operations
Create a profile for a source connection to a cloud-based MySQL instance (e.g. Amazon RDS for MySQL).
Configure connectivity between source and destination instances using an IP allowlist.
Create and run a one-time migration job using Database Migration Service.
Verify that the migration job has completed successfully.
Create a profile for a source connection to a cloud-based MySQL instance (e.g. Amazon RDS for MySQL).
Configure connectivity between source and destination instances using an IP allowlist.
Create and run a one-time migration job using Database Migration Service.
Verify that the migration job has completed successfully.
How to configure a continuous Database Migration Service job to migrate databases from a PostgreSQL instance to Cloud SQL for PostgreSQL.
Configure an application to access a Cloud SQL for PostgreSQL database.
Create a Kubernetes cluster and deploy a simple application to that cluster
How to secure a Cloud SQL for PostgreSQL instance
Enable point-in-time recovery on a Cloud SQL for PostgreSQL instance.
Perform a point-in-time recovery.
Confirm that the recovered database reflects an earlier point in time.
Insert data with DML
Insert data through a client library
Insert batch data through a client library
Load data using Dataflow. Backup your database
Load data into tables. Use pre-defined Python client library code to load data.
Query data with client libraries. Make updates to the database schema.
Add a Secondary Index.
Examine Query plans.
Configure the Project Environment. Download and inspect the application code.
Deploy Backend application component. Import sample stock trade data to the database.
Deploy Frontend application component.
Perform operations in the OmegaTrade Application.
Plan, execute, test, and monitor simple and complex enterprise database migrations to Google Cloud.
Choose an appropriate Google Cloud database, migrate SQL Server databases and run Oracle databases on Google Cloud bare metal.
Recognize and overcome the challenges of moving data to prevent data loss, preserve data integrity, and minimize downtime.
Evaluate on-premises database architectures and plan migrations. Make the business case for moving databases to Google Cloud.
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Earn a degree from world-class universities - 100% online
Upskill your employees to excel in the digital economy
This specialization is designed to be completed in 10 weeks at approximately 5 hours per week.
Experience with database development using SQL, general programming skills, and an understanding of relational and NoSQL database design is helpful in understanding the topics covered.
We strongly recommend you take these courses in order. This is especially important when completing the Qwiklabs activities, as these hands-on labs build upon the work you complete in preceding courses.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.
Financial aid available,
New to Coursera?
Having trouble logging in? Learner help center
This site is protected by reCAPTCHA Enterprise and the Google Privacy Policy and Terms of Service apply.