按需活动

Google Cloud 根據您的需求規劃了全方位的課程內容,內含超過 980 項學習活動,並涵蓋多種活動型態,您可自由選擇。您可以選擇簡短的個別研究室,或是包含影片、文件、研究室和測驗的多單元課程。在研究室中,您可以透過臨時憑證實際使用雲端資源,直接累積 Google Cloud 實作經驗。完成課程可獲得徽章,讓您輕鬆掌握、追蹤及評估自己的 Google Cloud 學習成果!

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317 条结果

  1. 实验 精选

    Redacting Confidential Data within your Pipelines in Cloud Data Fusion

    In this lab you wil learn how to use the Cloud Data Fusion plugin for Cloud DLP to redact sensitive data.

  2. 课程 精选

    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.

  3. 实验 精选

    Getting Started with Cloud Data Fusion

    In this lab you will learn how to create a Data Fusion instance and deploy a sample pipeline

  4. 课程 精选

    Prepare Data for Looker Dashboards and Reports

    Complete the introductory Prepare Data for Looker Dashboards and Reports skill badge to demonstrate skills in the following: filtering, sorting, and pivoting data, merging results from different Looker Explores, and using functions and operators to build Looker dashboards and reports for data analysis and visualiz…

  5. 实验 精选

    Data Loss Prevention: Qwik Start - JSON

    The Data Loss Prevention API provides programmatic access to a powerful detection engine for privacy-sensitive data. In this lab, you learn how to use this API to inspect a string of data for sensitive information.

  6. 实验 精选

    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…

  7. 实验 精选

    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.

  8. 实验 精选

    Consuming Customer Specific Datasets from Data Sharing Partners using BigQuery

    In this lab you will learn how to create Data Twins for customers on Google Cloud or a different cloud service provider.

  9. 实验 精选

    Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors

    In this lab you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.

  10. 实验 精选

    Perform Predictive Data Analysis in BigQuery: Challenge Lab

    This challenge lab tests the skills and knowledge gained from the labs in the Perform Predictive Data Analysis in BigQuery skill badge course.