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.
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Lab In primo piano Configure Device Settings for Users on ChromeOS
In this lab, you'll configure device settings for Users on ChromeOS.
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Lab In primo piano 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.
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Lab In primo piano 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…
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Lab In primo piano 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.
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Lab In primo piano Build and Configure an Integration using Application Integration
Learn the core concepts, functionalities, and best practices of Application Integration
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Lab In primo piano Manage a partitioned table in BigQuery
Manage a partitioned table and use filters to reduce data examined in BigQuery
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Lab In primo piano Set up a SIEM forwarder for Windows on Docker
In this lab, you configure a SIEM forwarder on a Windows VM using a standard Docker image. You use labels to add searchable metadata to the logs to optimize analytical capabilities.
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Lab In primo piano 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