On-Demand-Aktivitäten

Hier finden Sie die für Sie richtigen On-Demand-Lernaktivitäten. Labs sind kurze Lernaktivitäten, in denen Ihnen über einen direkten, temporären, praxisorientierten Zugriff auf echte Cloud-Ressourcen spezifische Inhalte vermittelt werden. Kurse sind längere Aktivitäten, die aus mehreren Modulen mit Videos, Dokumenten, praxisorientierten Labs und Quizaufgaben bestehen. Aufgabenreihen sind ähnlich, aber in der Regel kürzer und enthalten nur Labs.

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1191 Ergebnisse
  1. Lab Tipp

    Creating Cross-region Load Balancing

    This lab demonstrates how to create an HTTP(S) load balanced that forwards traffic to instances in two different regions.

  2. Lab Tipp

    Automating your BigQuery Data Pipeline with Cloud Dataprep

    In this lab, you will examine how Dataprep can be used on complicated data structures in BigQuery.

  3. Lab Tipp

    Exploring the Lineage of Data with Cloud Data Fusion

    This lab shows how to use Cloud Data Fusion to explore data lineage - the data's origins and its movement over time.

  4. Lab Tipp

    Use Dataproc Serverless for Spark to Load BigQuery

    This hands-on lab shows you how to use Dataproc Serverless for Spark to load BigQuery.

  5. Lab Tipp

    Working with Artifact Registry

    Artifact Registry is a single place to manage container images and language packages, and is fully integrated with Google Cloud tooling and and runtimes. This makes it simple to integrate it with your CI/CD tooling to set up automated pipelines.

  6. Lab Tipp

    Load Balancing in der Compute Engine implementieren: Challenge-Lab

    In diesem Challenge-Lab wird getestet, was Sie in den Labs des Kurses Implement Load Balancing on Compute Engine gelernt haben. Sie sollten mit dem Inhalt der Aufgabenreihe vertraut sein, bevor Sie sich diesem Lab widmen.

  7. Lab Tipp

    Modernizing Applications with Apigee X

    In this lab, you deploy a backend service on Cloud Run. The backend service implements a REST API for a bank, storing customers, accounts, ATMs, and transactions in a Firestore database. You create a shared flow that retrieves and caches content from an external service. You then call that shared flow from your AP…

  8. Lab Tipp

    Building Batch Pipelines in Cloud Data Fusion

    This lab will teach you how to use the Pipeline Studio in Cloud Data Fusion to build an ETL pipeline. Pipeline Studio exposes the building blocks and built-in plugins for you to build your batch pipeline, one node at a time. You will also use the Wrangler plugin to build and apply transformations to your data that…

  9. Lab Tipp

    Creating a Gmail Add-on

    In this hands-on lab you create a Gmail Add-on that allows you to quickly change the labels of an email thread.

  10. Lab Tipp

    Predict Baby Weight with TensorFlow on Vertex AI

    In this lab you train, evaluate, and deploy a machine learning model to predict a baby’s weight. You then send requests to the model to make online predictions. This lab is part of a series of labs on processing scientific data.