按照您自己的方式探索 Google Cloud 培训。

Google Cloud 提供 980 多项学习活动供您选择,我们设计的目录完整全面,充分考虑了您的需求。该目录包含各种可供您选择的活动形式,既有简短的单个实验,也有由视频、文档、实验和测验组成的多模块课程,您可以根据需求进行选择。我们的实验可为您提供实际云资源的临时凭据,以便您通过实际操作掌握 Google Cloud 知识。您可以跟踪、衡量和了解自己的 Google Cloud 学习进度,完成学习活动即可赢取徽章!

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317 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

    Filtering and Sorting Data in Looker

    In this lab, you will learn how to filter and sort data, and create looks with Looker.