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 PSGR Krishnammal College for Women

4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

No prior experience required

7 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

No prior experience required

7 hours to complete

Flexible schedule

Learn at your own pace

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

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

2 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the Google Cloud Database Engineer Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

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.

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.