On-demand activities

כשתכננו את Google Cloud, חשבנו עליכם. קטלוג ההדרכה שלנו מכיל למעלה מ-980 פעילויות שונות ממגוון סוגים. תוכלו לבחור מבין שיעורי Lab קצרים ואישיים או קורסים עם מודולים מרובים שמכילים סרטונים, מסמכים, שיעורי Lab ובחנים. בשיעורי ה-Lab תקבלו פרטי כניסה זמניים למשאבים עצמם בענן, כדי שתוכלו לתרגל במו ידיכם את השימוש ב-Google Cloud. תקבלו גם תגים על השיעורים והקורסים שתסיימו, ותוכלו לעקוב אחרי ההתקדמות ולהגדיר מה מבחינתכם נחשב להצלחה ב-Google Cloud!

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1186 results
  1. Lab Featured

    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. Lab Featured

    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. Lab Featured

    Compare data analytics with BigQuery and Dataproc

    Create and import data using parquet files

  4. Lab Featured

    GKE Autopilot: Qwik Start

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

  5. Lab Featured

    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. Lab Featured

    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. Lab Featured

    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. Lab Featured

    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. Lab Featured

    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. Lab Featured

    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.