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.

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350 résultats

  1. Cours Sélection

    Analyzing and Visualizing Data in Looker

    In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Lo…

  2. Cours Sélection

    Perform Predictive Data Analysis in BigQuery

    Earn the intermediate skill badge by completing the Perform Predictive Data Analysis in BigQuery course, where you will gain practical experience on the fundamentals of sports data science using BigQuery, including how to create a soccer dataset in BigQuery by importing CSV and JSON files; harness the power of Big…

  3. Atelier Sélection

    Tag and Discover BigLake Data: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Tag and Discover BigLake Data course. You should be familiar with the content of labs before attempting this lab.

  4. Atelier Sélection

    Manage Data Models in Looker: Challenge Lab

    In this lab, you test your skills related to managing data models in Looker. You are expected to use best practices to support LookML project health and optimize queries for performance.

  5. Atelier Sélection

    Store, Process, and Manage Data on Google Cloud - Command Line: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Store, Process, and Manage Data on Google Cloud - Command Line quest. You should be familiar with the content of labs before attempting this lab.

  6. Cours Sélection

    Serverless Data Processing with Dataflow: Operations

    In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational model. We will examine tools and techniques for troubleshooting and optimizing pipeline performance. We will then review testing, deployment, and reliability best practices for Dataflow pipelines. We…

  7. Atelier Sélection

    Analyze BigQuery data in Connected Sheets: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Analyze BigQuery data in Connected Sheets quest. You should be familiar with the content of labs before attempting this lab.

  8. Cours Sélection

    Serverless Data Processing with Dataflow: Foundations

    This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability fram…

  9. Atelier Sélection

    Creating a Data Transformation Pipeline with Cloud Dataprep

    Cloud Dataprep by Alteryx is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis. In this lab, you explore the Dataprep user interface (UI) to build a data transformation pipeline.

  10. Atelier Sélection

    Create a Streaming Data Lake on Cloud Storage: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Create a Streaming Data Lake on Cloud Storage quest. You should be familiar with the content of labs before attempting this lab.