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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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.
Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Translation API, and Cloud Natural Language API.
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Complete the introductory Create and Manage Cloud SQL for PostgreSQL Instances skill badge to demonstrate skills in the following: migrating, configuring, and managing Cloud SQL for PostgreSQL instances and databases.
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Complete the intermediate Perform Predictive Data Analysis in BigQuery skill badge course to demonstrate skills in the following: creating datasets in BigQuery by importing CSV and JSON files; harnessing the power of BigQuery with sophisticated SQL analytical concepts, including using BigQuery ML to train an expected goals model on soccer event data and evaluate the impressiveness of World Cup goals.
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Complete the introductory Create and Manage Bigtable Instances skill badge to demonstrate skills in the following: creating instances, designing schemas, querying data, and performing administrative tasks in Bigtable including monitoring performance and configuring node autoscaling and replication.
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Complete the introductory Create and Manage Cloud Spanner Instances skill badge to demonstrate skills in the following: creating and interacting with Cloud Spanner instances and databases; loading Cloud Spanner databases using various techniques; backing up Cloud Spanner databases; defining schemas and understanding query plans; and deploying a Modern Web App connected to a Cloud Spanner instance.
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Earn a skill badge by completing the Share Data Using Google Data Cloud skill badge course, where you will gain practical experience with Google Cloud Data Sharing Partners, which have proprietary datasets that customers can use for their analytics use cases. Customers subscribe to this data, query it within their own platform, then augment it with their own datasets and use their visualization tools for their customer facing dashboards.
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完成「運用 BigQuery ML 建立機器學習模型」技能徽章中階課程，即可證明您具備下列技能： 可使用 BigQuery ML 建立及評估機器學習模型，並根據資料進行預測。 「技能徽章」是 Google Cloud 核發的獨家數位徽章， 用於肯定您在 Google Cloud 產品和服務方面的精熟技能， 代表您已通過測驗，能在互動式實作環境中應用相關知識。完成 本課程及結業評量挑戰實驗室，即可取得技能徽章 並與他人分享。
為 Looker 資訊主頁和報表準備資料
Earned May 25, 2025 EDT
Google Cloud 中的資料工程簡介
Earned May 21, 2025 EDT
Preparing for your Professional Data Engineer Journey
Earned May 15, 2025 EDT
建立 Google Cloud 網路
Earned Jan 16, 2024 EST
Use Machine Learning APIs on Google Cloud
Earned Jan 15, 2024 EST
Create and Manage Cloud SQL for PostgreSQL Instances
Earned Jan 14, 2024 EST
Perform Predictive Data Analysis in BigQuery
Earned Jan 13, 2024 EST
Create and Manage Bigtable Instances
Earned Jan 13, 2024 EST
Create and Manage Cloud Spanner Instances
Earned Jan 11, 2024 EST
Share Data Using Google Data Cloud
Earned Dec 18, 2023 EST
運用 BigQuery ML 建立機器學習模型
Earned Dec 11, 2023 EST
從 BigQuery 資料取得深入分析結果
Earned Dec 9, 2023 EST
透過 BigQuery 建構資料倉儲
Earned Dec 6, 2023 EST