Google Cloud
Introduction to Data Engineering on Google Cloud - 繁體中文
Google Cloud

Introduction to Data Engineering on Google Cloud - 繁體中文

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Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • 瞭解資料工程師的角色。

  • 瞭解 Google Cloud 上的資料工程工作和核心元件。

  • 瞭解如何在 Google Cloud 建立並部署各種模式的資料 pipeline。

  • 瞭解並運用 Google Cloud 的各種自動化技術。

Details to know

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Recently updated!

October 2024

Assessments

6 assignments

Taught in Chinese (Traditional)

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There are 8 modules in this course

在本節中,我們會歡迎學員參加「Introduction to Data Engineering on Google Cloud」,並簡要說明課程架構和目標。

What's included

1 video

本單元將介紹資料工程師的角色,並說明許多重要概念,例如資料來源和接收器、資料格式、Google Cloud 的儲存空間選項、中繼資料管理,以及如何使用 Analytics Hub 在組織內外共用資料。

What's included

9 videos1 assignment1 app item

本單元將概略說明 Google Cloud 的資料複製及遷移功能,涵蓋基本架構,以及 gcloud 指令列工具、Storage 移轉服務、Transfer Appliance 和 Datastream 的功能和用途。

What's included

6 videos1 assignment1 app item

本單元將著重在 Google Cloud 的資料擷取及載入,並特別說明 BigQuery 相關用法。內容涵蓋資料擷取及載入的基本架構、bq 指令列工具、BigQuery 資料移轉服務,以及如何將 BigLake 做為傳統擷取及載入模式的替代方案。

What's included

6 videos1 assignment1 app item

本單元將概略說明 Google Cloud 的 ELT (擷取、載入、轉換) 程序,涵蓋 ELT 基本架構、常見的 ELT pipeline 範例、BigQuery 的 SQL 指令碼編寫和排程功能,以及 Dataform 的功能和用途。

What's included

5 videos1 assignment1 app item

本單元將概略說明 Google Cloud 的 ETL (擷取、轉換、載入) 程序,涵蓋 ETL 基本架構、GUI 工具、批次與串流資料處理選項 (Dataproc、Dataproc Serverless),以及 Bigtable 在資料 pipeline 中的角色。

What's included

8 videos1 assignment2 app items

本單元著重在 Google Cloud 上 pipeline 的自動化模式和選項,涵蓋各種工具及服務的功能和自動化用途,例如 Cloud Scheduler、Workflows、Cloud Composer、Cloud Run functions 和 Eventarc。

What's included

7 videos1 assignment1 app item

在最後一節中,我們會回顧本課程介紹的內容,並說明後續步驟,繼續雲端學習之旅。

What's included

1 video1 reading

Instructor

Google Cloud Training
Google Cloud
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