Scopri la formazione Google Cloud a modo tuo.
Con oltre 980 attività di apprendimento tra cui scegliere, Google Cloud ha progettato il nostro catalogo completo pensando a te. Il catalogo è composto da una varietà di formati di attività tra cui scegliere. Scegli tra piccoli laboratori individuali o corsi multimodulo composti da video, documenti, laboratori e quiz. I nostri laboratori ti forniscono credenziali temporanee per risorse cloud reali, così puoi imparare a utilizzare Google Cloud com'è davvero. Guadagna badge per ciò che completi, definisci, monitora e misura il tuo successo con Google Cloud.
-
Lab In primo piano Route Datadog Monitoring Alerts to Google Cloud with Eventarc
In this lab, you will learn how to use the Datadog Monitoring with Google Eventarc.
-
Lab In primo piano 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.
-
Lab In primo piano 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.
-
Lab In primo piano 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.
-
Lab In primo piano End to End Baseline Chat Summarization
In this lab, you build a end to end Baseline Chat Summarisation pipeline.
-
Lab In primo piano Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Dataflow (Python)
In this lab, you a) build a batch ETL pipeline in Apache Beam, which takes raw data from Google Cloud Storage and writes it to BigQuery b) run the Apache Beam pipeline on Dataflow and c) parameterize the execution of the pipeline.
-
Lab In primo piano Compare data analytics with BigQuery and Dataproc
Create and import data using parquet files
-
Lab In primo piano Serverless Data Processing with Dataflow - Writing an ETL pipeline using Apache Beam and Dataflow (Java)
In this lab, you a) build a batch ETL pipeline in Apache Beam, which takes raw data from Google Cloud Storage and writes it to BigQuery b) run the Apache Beam pipeline on Dataflow and c) parameterize the execution of the pipeline.
-
Lab In primo piano Automate GKE Configurations with Config Sync and Policy Controller
Use GitOps-driven Config Sync to automate configuration and Policy Controller to enforce policies on GKE Enterprise resources
-
Lab In primo piano Exploring Memorystore for Redis Cluster
In this lab, you will explore the capabilities of Memorystore for Redis Cluster.