In this intermediate course, you will learn to design, build, and optimize robust batch data pipelines on Google Cloud. Moving beyond fundamental data handling, you will explore large-scale data transformations and efficient workflow orchestration, essential for timely business intelligence and critical reporting.
Get hands-on practice using Dataflow for Apache Beam and Serverless for Apache Spark (Dataproc Serverless) for implementation, and tackle crucial considerations for data quality, monitoring, and alerting to ensure pipeline reliability and operational excellence. A basic knowledge of data warehousing, ETL/ELT, SQL, Python, and Google Cloud concepts is recommended.
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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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完成 在 Google Cloud 為機器學習 API 準備資料 技能徽章入門課程，即可證明您具備下列技能： 使用 Dataprep by Trifacta 清理資料、在 Dataflow 執行資料管道、在 Dataproc 建立叢集和執行 Apache Spark 工作，以及呼叫機器學習 API，包含 Cloud Natural Language API、Google Cloud Speech-to-Text API 和 Video Intelligence API。
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This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.
Master Google Cloud skills through hands-on labs and friendly competition! Cloud Hero challenges you to conquer a series of Cloud Skills Boost labs, putting your newfound knowledge to practice. Earn points for completing labs accurately, and rack up bonus points for speed. The leaderboard lets you see how you stack up against your peers – can you rise to the top? Remember to click "End" after finishing each lab to claim your well-deserved points.
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完成「在 Google Cloud 使用 Terraform 建構基礎架構」技能徽章中階課程， 即可證明自己具備下列知識與技能：使用 Terraform 的基礎架構即程式碼 (IaC) 原則、運用 Terraform 設定佈建及管理 Google Cloud 資源、有效管理狀態 (本機和遠端)，以及將 Terraform 程式碼模組化，以利重複使用和管理。
Build Batch Data Pipelines on Google Cloud
Earned Dec 8, 2025 EST
使用 Dataplex 建構資料網格
Earned Nov 30, 2025 EST
在 Google Cloud 為機器學習 API 準備資料
Earned Nov 23, 2025 EST
Serverless Data Processing with Dataflow: Foundations
Earned Nov 17, 2025 EST
以串流方式將分析資料傳入 BigQuery
Earned Nov 17, 2025 EST
從 BigQuery 資料取得深入分析結果
Earned Nov 15, 2025 EST
透過 BigQuery 建構資料倉儲
Earned Nov 14, 2025 EST
Google Agentspace
Earned Sep 8, 2025 EDT
在 Google Cloud 使用 Terraform 建構基礎架構
Earned Apr 27, 2025 EDT
在 Google Cloud 實作 Cloud 安全防護措施：基礎知識
Earned Apr 25, 2025 EDT
建立 Google Cloud 網路
Earned Apr 25, 2025 EDT
重要的 Google Cloud 基礎架構：基本概念
Earned Apr 21, 2025 EDT
建構安全的 Google Cloud 網路
Earned Apr 13, 2025 EDT
在 Google Cloud 設定應用程式開發環境
Earned Apr 6, 2025 EDT
Google Cloud 基礎知識：核心基礎架構
Earned Apr 1, 2025 EDT
在 Compute Engine 導入 Cloud Load Balancing
Earned Apr 1, 2025 EDT