This lab takes you through the steps of creating a MySQL database using the Amazon Relational Database Service using the AWS Management Console, and then connecting to the database in AWS using the MySQL client running on an Amazon Linux instance, which the student also creates during the lab.
This lab leads you through the steps to launch and configure your first Amazon RDS for SQL Server. You will scale database instances, access the Amazon RDS instance via Microsoft SQL Server Management Studio, and configure Amazon CloudWatch and Amazon Simple Notification Service (SNS). At the end of this lab, you will have created a database in Amazon RDS and performed administrative operations, such as migrating a large database to Amazon RDS and database backup (snapshot) and restore (recover) operations.
This lab shows how to perform basic operations in Cloud Spanner using the Google Cloud Platform Console. Watch the short video Get a Highly Consistent, Scalable Database Service with Cloud Spanner.
This lab takes you through the steps of creating a MySQL database using the Amazon Relational Database Service using the AWS Management Console, and then connecting to the database in AWS using a SQL client running on a Microsoft Windows server, also provided in the lab environment. For a demonstration, go to: https://www.youtube.com/watch?v=Kz1zmyHw9G0
In this lab, you will deploy a highly available and quickly scalable "meme generator" application. You will accomplish this by configuring a Postgres Cloud SQL database and connecting it to a Kubernetes cluster.
This lab introduces the power of App Maker by stepping through how to create a complete database web app in a few minutes. At the completion of this lab you will understand the basics of data modeling and UI development in App Maker.
This lab will show you how to launch a Drupal Open Souce Content Management System (CMS) with Amazon Relational Database (Amazon RDS) for MySQL as the backend database with a multi-Availability Zone (AZ) deployment.
Containers are becoming a popular way to run and scale applications across multiple cloud providers or on both cloud and on-premise hardware. This lab provides a quick introduction to running a MongoDB database on Kubernetes Engine using Docker.
In this hands-on lab you learn how to create a gaming leaderboard using a Cloud Spanner database table with a commit timestamp column.
Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. In this lab you'll use Bigtable with the cbt command line. Watch the short video Bigtable: Qwik Start - Qwiklabs Preview.