Activités à la demande
Trouvez les activités à la demande qui vous conviennent. Les ateliers sont des activités de formation courtes qui couvrent une leçon spécifique en vous donnant un accès direct, temporaire et pratique à des ressources cloud réelles. Les cours sont des activités plus longues comprenant plusieurs modules, dont des vidéos, des documents, des ateliers pratiques et des questionnaires. Les quêtes sont semblables aux cours, mais sont généralement plus courtes et contiennent uniquement des ateliers.
329 résultats
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Atelier Sélection Share Data using Google Data Cloud: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Share Data using Google Data Cloud course. Are you ready for the challenge?
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Atelier Sélection Visualizing Data with Google Data Studio
This lab demonstrates how to use Google Data Studio to visualize data stored in Google BigQuery.
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Cours Sélection BigQuery for Marketing Analysts
Want to turn your marketing data into insights and build dashboards? Bring all of your data into one place for large-scale analysis and model building. Get repeatable, scalable, and valuable insights into your data by learning how to query it and using BigQuery. BigQuery is Google's fully managed, NoOps, low cost…
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Atelier Sélection Data Publishing on BigQuery using Authorized Views for Data Sharing Partners
In this lab you will learn how Authorized Views in BigQuery can be used to share customer specific data from a Data Sharing Partner.
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Atelier Sélection Data Catalog: Qwik Start
In this lab, you explore existing datasets with Data Catalog and mine the table and column metadata for insights.
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Cours Sélection Share Data Using Google Data Cloud
Earn a skill badge by completing the Share Data Using Google Data Cloud course, where you will gain practical experience with Google Cloud Data Sharing Partners, which have proprietary datasets that customers can use for their analytics use cases. Customers subscribe to this data, query it within their own platfor…
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Cours Sélection NCAA® March Madness®: Bracketology with Google Cloud
In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.
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Atelier Sélection Streaming Data to Bigtable
In this lab, you launch a Dataflow pipeline to load streaming data from Pub/Sub into Bigtable.
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Atelier Sélection 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.
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Atelier Sélection Redacting Sensitive Data with Cloud Data Loss Prevention
In this lab, you inspect strings and files for sensitive data and then practice using the Cloud Data Loss Prevention (DLP) API to protect data.