On-demand activities

Find the right on-demand learning activities for you. Labs are short learning activities that teach you a specific lesson by giving you direct, temporary, hands-on access to real cloud resources. Courses are longer activities, consisting of several modules made of videos, documents, hands-on labs and quizzes. Finally, quests are similar, but are usually shorter and contain only labs.

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1186 résultats
  1. Atelier Sélection

    Offloading Financial Mainframe Data into BigQuery and Elastic Search

    In this hands-on lab, you will import synthetic data* representing financial records offloaded from a bank’s mainframe.

  2. Atelier Sélection

    Create and execute a SQL workflow in Dataform

    This lab walks you through the process to create and execute a SQL workflow in Dataform to load data in BigQuery.

  3. Atelier Sélection

    Compare data analytics with BigQuery and Dataproc

    Create and import data using parquet files

  4. Atelier Sélection

    GKE Autopilot: Qwik Start

    GKE Autopilot provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure.

  5. Atelier Sélection

    Route Datadog Monitoring Alerts to Google Cloud with Eventarc

    In this lab, you will learn how to use the Datadog Monitoring with Google Eventarc.

  6. Atelier Sélection

    SingleStore on Google Cloud

    Learn how to deploy SingleStore DB, combine it with cloud native products like Pub/Sub, Dataflow and Cloud Storage, and interact with SingleStore once the data is ingested.

  7. Atelier Sélection

    Cloud Composer: Qwik Start - Console

    In this lab, you create a Cloud Composer environment using the GCP Console. You then use the Airflow web interface to run a workflow that verifies a data file, creates and runs an Apache Hadoop wordcount job on a Dataproc cluster, and deletes the cluster.

  8. Atelier Sélection

    Building and Debugging Cloud Functions for Node.js

    In this lab, you will create a Cloud Function for Node.js that reports whether a specified temperature is acceptable or too hot. You will create, test, and debug your Cloud Function using Visual Studio Code on your local machine. Lastly, you'll deploy your function to Google Cloud Platform.

  9. Atelier Sélection

    Cloud Run Canary Deployments

    Implement a deployment pipeline for Cloud Run that executes a progression of code from developer branches to production with automated canary testing and percentage based traffic management.

  10. Atelier Sélection

    Cisco: SD-WAN Cloud Hub with Google Cloud

    In this hands-on lab, you will learn how to leverage Google Service Directory and Cisco SD-WAN to optimize the performance of a video streaming application.