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.

Course Introduction

Introduction

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.

Relational and non-relational databases: What’s the difference?

Google Cloud relational databases

Google Cloud NoSQL databases

Quiz Question 1

Quiz Question 2

Quiz Question 3

Quiz Question 4

Quiz Question 5

Quiz Question 6

Quiz Question 7

Google Cloud database solutions for developing applications

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.

Types of workloads: transactional and analytical

Key factors for choosing a Google Cloud database

Database considerations for generative AI applications

Which database is right for you?

Which database is right for your application?

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.

Lab introduction: Configuring Vector Search

gsp918-migrate-postgresql-databases-on-cloud-sql

Migrate to Cloud SQL for PostgreSQL Using Database Migration Service

gsp1286-get-started-vector-search-alloydb

Configure Vector Search in AlloyDB

gsp1287-get-started-vector-search-cloudsql

Configuring Vector Search in Cloud SQL for PostgreSQL

gsp1288-get-started-vector-search-spanner

Configuring Vector Search in Spanner

Build generative AI apps with Google Cloud databases

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.

In this course, you learn to analyze and choose the right database for your needs, to effectively develop applications on Google Cloud. 

Configuring Vector Search in Cloud SQL for PostgreSQL

Select a Google Cloud Database for Your Applications

Exercise instructions