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在 Google Cloud 控制台中运用您的技能

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Anil Verma

成为会员时间:2022

钻石联赛

25835 积分
使用 Dataplex 建構資料網格 Earned Aug 3, 2025 EDT
基本概念:基礎架構 Earned Jun 22, 2025 EDT
Optimize Your Google Cloud Costs Earned May 17, 2025 EDT
Preparing for your Professional Data Engineer Journey Earned Mar 2, 2025 EST
從 BigQuery 資料取得深入分析結果 Earned Jan 12, 2025 EST
Data Management and Storage in the Cloud Earned Jan 12, 2025 EST
Google Cloud 中的資料工程簡介 Earned Dec 27, 2024 EST

完成「使用 Dataplex 建構資料網格」技能徽章入門課程,即可證明您具備下列技能:使用 Dataplex 建構資料網格, 以利在 Google Cloud 維護資料安全性,並協助治理和探索資料。您將練習並測試自己的技能,包括在 Dataplex 為資產加上標記、指派 IAM 角色,以及評估資料品質。

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如果您是剛起步的雲端開發人員, 想在 Google Cloud Essentials 外獲得更多實作經驗,歡迎參加本課程。您將透過實作實驗室, 深入瞭解 Cloud Storage 和其他重要應用程式服務,例如: Monitoring 和 Cloud Functions。您將習得 在任何 Google Cloud 專案都適用的寶貴技能。

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This is the second Quest in a two-part series on Google Cloud billing and cost management essentials. This Quest is most suitable for those in a Finance and/or IT related role responsible for optimizing their organization’s cloud infrastructure. Here you'll learn several ways to control and optimize your Google Cloud costs, including setting up budgets and alerts, managing quota limits, and taking advantage of committed use discounts. In the hands-on labs, you’ll practice using various tools to control and optimize your Google Cloud costs or to influence your technology teams to apply the cost optimization best practices.

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This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.

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完成 從 BigQuery 資料取得深入分析結果 技能徽章入門課程,即可證明您具備下列技能: 撰寫 SQL 查詢、查詢公開資料表、將樣本資料載入 BigQuery、使用 BigQuery 的查詢驗證工具 排解常見語法錯誤,以及在 Looker Studio 中 透過連結 BigQuery 資料建立報表。

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This is the second of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll explore how data is structured and organized. You’ll gain hands-on experience with the data lakehouse architecture and cloud components like BigQuery, Google Cloud Storage, and DataProc to efficiently store, analyze, and process large datasets.

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在本課程中,您會學到 Google Cloud 上的資料工程、資料工程師的角色與職責,以及這些內容如何對應至 Google Cloud 提供的服務。您也將瞭解處理資料工程難題的許多方法。

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