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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1187 Ergebnisse
  1. Lab Tipp

    Configure Device Settings for Users on ChromeOS

    In this lab, you'll configure device settings for Users on ChromeOS.

  2. Lab Tipp

    Secure Software Supply Chain: Create and Use Cloud Workstations

    In this lab, you will use Cloud Workstations to create a workstation configuration and launch a new workstation instance from that configuration.

  3. 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…

  4. Lab Tipp

    Online Data Migration to Cloud Spanner using Striim

    In this lab you will learn how to migrate a Cloud SQL for MySQL database to Cloud Spanner using Google Cloud's data migration partner, Striim.

  5. Lab Tipp

    Build and Configure an Integration using Application Integration

    Learn the core concepts, functionalities, and best practices of Application Integration

  6. Lab Tipp

    Create a report in Looker Studio

    Use Looker Studio to build a report.

  7. Lab Tipp

    Manage a partitioned table in BigQuery

    Manage a partitioned table and use filters to reduce data examined in BigQuery

  8. Lab Tipp

    Collect, process, and store data in BigQuery

    Create and import data in BigQuery

  9. Lab Tipp

    Machine Learning with Spark on Google Cloud Dataproc

    In this lab you will learn how to implement logistic regression using a machine learning library for Apache Spark running on a Google Cloud Dataproc cluster to develop a model for data from a multivariable dataset

  10. 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…