In this course, you learn to analyze and choose the right database for your needs, to effectively develop applications on Google Cloud. You explore relational and NoSQL databases, dive into Cloud SQL, AlloyDB, and Spanner, and learn how to align database strengths with your application requirements, including those of generative AI. Gain hands-on experience configuring Vector Search and migrating applications to the cloud.



Select a Google Cloud Database for Your Applications
This course is part of Google Cloud Database Engineer Specialization

Instructor: Google Cloud Training
Access provided by Coursera Learning Team
What you'll learn
Identify Google Cloud databases commonly used for application development.
Describe common application design patterns and select a Google Cloud database that’s suitable for the characteristics of your application.
Use Cloud SQL, AlloyDB, or Spanner to build gen AI applications.
Skills you'll gain
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2 assignments
March 2025
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There are 4 modules in this course
This section welcomes learners to the Select a Google Cloud Database for Your Applications course, and provides an overview of the course structure and goals.
What's included
1 plugin
This section introduces Google Cloud databases commonly used for application development. It explains the similarities and differences between relational and NoSQL databases and lists common use cases for Cloud SQL, AlloyDB, Spanner, Bigtable, Firestore, and Memorystore.
What's included
1 assignment3 plugins
This section explores database requirements and considerations for different applications, including generative AI applications. It also explains the process for database selection and describes how to align Google Cloud database strengths with application needs.
What's included
1 assignment4 plugins
This section provides hands-on practice configuring Vector Search. You have the opportunity to configure Vector Search in the database of your choosing: AlloyDB, Cloud SQL, or Spanner.
What's included
4 app items1 plugin
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