On-Demand-Aktivitäten

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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1047 Ergebnisse

  1. Lab Tipp

    BigQuery Machine Learning using Soccer Data

    Learn how to use BigQuery ML with soccer shot data to create and use an expected goals model.

  2. Lab Tipp

    APIs Explorer: Cloud SQL

    In this lab, you will get hands-on practice with the Cloud SQL API and its associated methods by making calls through the APIs Explorer tool.

  3. Lab Tipp

    Scaling Microservices Applications: Migration to Redis Enterprise on Google Cloud

    In this lab, you will deploy a fully functioning microservices e-Commerce website application on Google Cloud using Redis to run the shopping cart service and then migrate that to Redis Enterprise for scalability and high availability.

  4. Lab Tipp

    Speech to Text Transcription with the Cloud Speech API

    The Cloud Speech API lets you do speech to text transcription from audio files in over 80 languages. In this hands-on lab you’ll record your own audio file and send it to the Speech API for transcription.

  5. Lab Tipp

    App Engine: Qwik Start - Go

    This hands-on lab shows you how to create a small App Engine application that displays a short message. Watch the short video Build Apps at Scale with Google App Engine.

  6. Lab Tipp

    Exploring NCAA Data with BigQuery

    Use BigQuery to explore the NCAA dataset of basketball games, teams, and players. The data covers plays from 2009 and scores from 1996. Watch How the NCAA is using Google Cloud to tap into decades of sports data.

  7. Lab Tipp

    A Tour of Google Cloud Hands-on Labs

    In this first hands-on lab you will access the Google Cloud console and use these basic Google Cloud features: Projects, Resources, IAM Users, Roles, Permissions, and APIs.

  8. Lab Tipp

    Explore a lakehouse

    Use a data lakehouse and combine data on GCS with BigQuery

  9. Lab Tipp

    Connect to Cloud SQL from an Application in Google Kubernetes Engine

    This lab shows how easy it is to connect an application in Google Kubernetes Engine to a Cloud SQL instance using the Cloud SQL Proxy container as a sidecar container. You will deploy a GKE cluster and a Cloud SQL Postgres instance and use the Cloud SQL Proxy container to allow communication between them.

  10. Lab Tipp

    Loading Data into Cloud SQL

    In this lab, you import data from CSV text files into Cloud SQL and then carry out some basic data analysis using simple queries.