Google Cloud Database Engineer Specialization

Advance your cloud career in database engineering

Taught in English

Instructor: Google Cloud Training

Specialization - 13 course series

Get in-depth knowledge of a subject

4.8

(232 reviews)

Intermediate level

Recommended experience

1 months at 10 hours a week

Flexible schedule

Learn at your own pace

View all courses

What you'll learn

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

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Specialization - 13 course series

Get in-depth knowledge of a subject

4.8

(232 reviews)

Intermediate level

Recommended experience

1 months at 10 hours a week

Flexible schedule

Learn at your own pace

View all courses

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Develop a deep understanding of key concepts
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Specialization - 13 course series

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.

A Tour of Google Cloud Hands-on Labs

Course 130 minutes4.8 (150 ratings)

What you'll learn

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.

Google Cloud Fundamentals: Core Infrastructure

Course 25 hours4.7 (47,726 ratings)

What you'll learn

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

Cloud SQL for MySQL: Qwik Start

Course 330 minutes4.7 (23 ratings)

What you'll learn

how to create and connect to a Google Cloud SQL MySQL instance and perform basic SQL operations

Migrating to Cloud SQL from Amazon RDS for MySQL Using Database Migration Service

Course 41 hour4.6 (14 ratings)

What you'll learn

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.

Migrating On-premises MySQL Using a Continuous Database Migration Service Job

Course 51 hour

What you'll learn

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.

Migrate to Cloud SQL for PostgreSQL using Database Migration Service

Course 61 hour4.4 (11 ratings)

What you'll learn

How to configure a continuous Database Migration Service job to migrate databases from a PostgreSQL instance to Cloud SQL for PostgreSQL.

Connect an App to a Cloud SQL for PostgreSQL Instance

Course 740 minutes

What you'll learn

Configure an application to access a Cloud SQL for PostgreSQL database.
Create a Kubernetes cluster and deploy a simple application to that cluster

Securing a Cloud SQL for PostgreSQL Instance

Course 840 minutes

What you'll learn

How to secure a Cloud SQL for PostgreSQL instance

Configure Replication and Enable Point-in-Time-Recovery for Cloud SQL for PostgreSQL

Course 940 minutes

What you'll learn

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.

Cloud Spanner - Loading Data and Performing Backups

Course 101 hour

What you'll learn

Insert data with DML
Insert data through a client library
Insert batch data through a client library
Load data using Dataflow. Backup your database

Cloud Spanner - Defining Schemas and Understanding Query Plans

Course 111 hour

What you'll learn

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.

Deploy a Modern Web App connected to a Cloud Spanner Instance

Course 121 hour

What you'll learn

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.

Enterprise Database Migration

Course 1319 hours4.6 (27 ratings)

What you'll learn

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.