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Google Cloud Database Engineer

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.

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What's inside

12 courses

A Tour of Google Cloud Hands-on Labs

(45 hours)

This hands-on lab in the Google Cloud console introduces basic Google Cloud features like Projects, Resources, IAM Users, Roles, Permissions, and APIs.

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Cloud SQL for MySQL: Qwik Start

(30 hours)

This self-paced lab takes place in the Google Cloud console. Create a Google Cloud SQL MySQL instance and perform SQL operations using Google Cloud Platform Console and mysql client.

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

(1 hours)

This self-paced lab in the Google Cloud console teaches you to migrate MySQL data from an Amazon RDS instance to Cloud SQL for MySQL using Database Migration Service and an IP allowlist.

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

(1 hours)

Migrate an on-premises MySQL database to Cloud SQL for MySQL using a continuous Database Migration Service job and VPC peering. Confirm the initial copy, explore continuous updates, and promote the Cloud SQL instance to a standalone database.

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Migrate to Cloud SQL for PostgreSQL using Database Migration Service

(1 hours)

This self-paced lab in the Google Cloud console teaches you to migrate a stand-alone PostgreSQL database to Cloud SQL for PostgreSQL using Database Migration Service and VPC peering.

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Connect an App to a Cloud SQL for PostgreSQL Instance

(1 hours)

This self-paced lab in the Google Cloud console will teach you how to create a Kubernetes cluster, deploy a simple application to that cluster, and connect the application to the supplied Cloud SQL for PostgreSQL database instance. You will confirm that the application is able to write to and read from it.

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Securing a Cloud SQL for PostgreSQL Instance

(40 hours)

This lab teaches you to deploy a new Cloud SQL instance using a customer-managed encryption key (CMEK). You will configure pgAudit to selectively record and track SQL operations performed against that instance, then you will configure and test Cloud SQL IAM database authentication.

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

(40 hours)

This self-paced lab in the Google Cloud console configures and tests point-in-time recovery for a Cloud SQL for PostgreSQL instance.

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Cloud Spanner - Loading Data and Performing Backups

(1 hours)

This self-paced lab in the Google Cloud console explores loading data into Cloud Spanner and performing database backups.

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Cloud Spanner - Defining Schemas and Understanding Query Plans

(1 hours)

This self-paced lab in the Google Cloud console reviews schema features of Cloud Spanner and applies them to a Banking Operations database. It also reviews methods and rules for Cloud Spanner to create query plans.

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Deploy a Modern Web App connected to a Cloud Spanner Instance

(1 hours)

This self-paced lab in the Google Cloud console lets you build and deploy a Node.js application connected to a Cloud Spanner instance. The Node.js application is a stock price visualization tool named OmegaTrade, which stores stock prices in Cloud Spanner and renders visualizations using Google Charts.

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Enterprise Database Migration

(0 hours)

This course teaches architects, engineers, and developers how to architect, plan, execute, and test database migration projects. Through presentations, demos, and hands-on labs, participants move databases to Google Cloud while leveraging various services.

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Learning objectives

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

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

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Time

9888 hours

Level

Intermediate

Via

Coursera

Institution

Google Cloud

Instructor

Google Cloud Training

Level

Intermediate

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