![]() The environment creation process is completed when the green checkmark displays to the left of the environment name on the Environments page in the Cloud Console. In this section, you create a Cloud Composer environment.Ĭlick CREATE ENVIRONMENT and select Composer 1 from the dropdown. Note: For full documentation of gcloud, in Google Cloud, refer to the gcloud CLI overview guide. Your Cloud Platform project in this session is set to The output contains a line that declares the Project_ID for this session: When you are connected, you are already authenticated, and the project is set to your Project_ID. Click Activate Cloud Shell at the top of the Google Cloud console.Cloud Shell provides command-line access to your Google Cloud resources. It offers a persistent 5GB home directory and runs on the Google Cloud. Note: To view a menu with a list of Google Cloud products and services, click the Navigation menu at the top-left.Ĭloud Shell is a virtual machine that is loaded with development tools. Do not add recovery options or two-factor authentication (because this is a temporary account).Īfter a few moments, the Google Cloud console opens in this tab.Note: Using your own Google Cloud account for this lab may incur extra charges. Do not use your Google Cloud account credentials. Important: You must use the credentials the lab provides you. You can also find the Password in the Lab Details panel.Ĭlick Next. You can also find the Username in the Lab Details panel.Ĭopy the Password below and paste it into the Welcome dialog. If necessary, copy the Username below and paste it into the Sign in dialog. Note: If you see the Choose an account dialog, click Use Another Account. Tip: Arrange the tabs in separate windows, side-by-side. The lab spins up resources, and then opens another tab that shows the Sign in page. Other information, if needed, to step through this labĬlick Open Google Cloud console (or right-click and select Open Link in Incognito Window if you are running the Chrome browser).The temporary credentials that you must use for this lab.On the left is the Lab Details panel with the following: If you need to pay for the lab, a pop-up opens for you to select your payment method. How to start your lab and sign in to the Google Cloud consoleĬlick the Start Lab button. Note: If you already have your own personal Google Cloud account or project, do not use it for this lab to avoid extra charges to your account. Time to complete the lab-remember, once you start, you cannot pause a lab.This prevents any conflicts between your personal account and the Student account, which may cause extra charges incurred to your personal account. Note: Use an Incognito or private browser window to run this lab. Access to a standard internet browser (Chrome browser recommended).It does so by giving you new, temporary credentials that you use to sign in and access Google Cloud for the duration of the lab. This hands-on lab lets you do the lab activities yourself in a real cloud environment, not in a simulation or demo environment. ![]() The timer, which starts when you click Start Lab, shows how long Google Cloud resources will be made available to you. Labs are timed and you cannot pause them. Setup and requirements Before you click the Start Lab button View the results of the wordcount job in storage.View and run the DAG (Directed Acyclic Graph) in the Airflow web interface.Use Cloud Console to create the Cloud Composer environment.In this lab, you will learn how to perform the following tasks: You then use Cloud Composer to go through a simple workflow that verifies the existence of a data file, creates a Cloud Dataproc cluster, runs an Apache Hadoop wordcount job on the Cloud Dataproc cluster, and deletes the Cloud Dataproc cluster afterwards. In this lab, you use the Cloud Console to set up a Cloud Composer environment. ![]() In Google Cloud, the tool for hosting workflows is Cloud Composer which is a hosted version of the popular open source workflow tool Apache Airflow. Workflows are a common theme in data analytics - they involve ingesting, transforming, and analyzing data to figure out the meaningful information within. ![]()
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