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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316 条结果

  1. 实验 精选

    Getting Started with BigQuery GIS for Data Analysts

    BigQuery GIS allows you to easily analyze and visualize geospatial data in BigQuery.

  2. 实验 精选

    BigQuery Soccer Data Ingestion

    Get started with sports data science by importing soccer data on matches, teams, players, and match events into BigQuery tables.

  3. 实验 精选

    Data Publishing on BigQuery for Data Sharing Partners

    In this lab you will learn how to share datasets and publish datasets with BigQuery.

  4. 实验 精选

    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.

  5. 实验 精选

    Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion

    In this lab you’ll be working with Wrangler directives which are used by the Wrangler plugin, the “Swiss Army Knife” of plugins in the Data Fusion platform, so that your transformations are encapsulated in one place and we can group transformation tasks into manageable blocks.

  6. 实验 精选

    BigQuery Soccer Data Analysis

    Learn the fundamentals of writing and executing queries to query soccer data stored in BigQuery tables.

  7. 实验 精选

    Big Data Analysis to a Slide Presentation

    This lab leverages two Google developer platforms: G Suite and Google Cloud Platform (GCP). It uses GCP's BigQuery API, Sheets, and Slides to collect, analyze and present data.

  8. 实验 精选

    Exploring Dataset Metadata Between Projects with Data Catalog

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

  9. 课程 精选

    Modernizing Data Lakes and Data Warehouses with Google Cloud

    The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a success…

  10. 实验 精选

    BigQuery Soccer Data Analytical Insight

    Learn how to create deeper analytical insights from soccer event data using BigQuery.