Google Cloud
Modernizing Data Lakes and Data Warehouses with GCP 日本語版

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Google Cloud

Modernizing Data Lakes and Data Warehouses with GCP 日本語版

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Gain insight into a topic and learn the fundamentals.
4.3

(48 reviews)

Intermediate level
Some related 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.
4.3

(48 reviews)

Intermediate level
Some related experience required
8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • データ パイプラインを構成する 2 つの主要コンポーネントである、データレイクとデータ ウェアハウスの違いを理解する。

  • 各ストレージ タイプのユースケースを確認し、Google Cloud で利用可能なデータレイクとデータ ウェアハウスのソリューションについて、技術的な詳細を学習する。

  • データ エンジニアの役割と、効果的なデータパイプラインが事業運営にもたらすメリットについて理解する。

  • クラウド環境でデータ エンジニアリングを行うべき理由を確認する。

Details to know

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Assessments

3 assignments

Taught in Japanese

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There are 6 modules in this course

このモジュールでは「Data Engineering on Google Cloud」コースシリーズと、この「Modernizing Data Lakes and Data Warehouses with Google Cloud」コースについて紹介します。

What's included

2 videos

このモジュールでは、データ エンジニアリングの役割について検討し、クラウドでデータ エンジニアリングを行うべき理由について理解を促します。

What's included

14 videos1 assignment1 app item

このモジュールでは、データレイクの概要に加え、Google Cloud で Cloud Storage をデータレイクとして使用する方法について説明します。

What's included

8 videos1 assignment1 app item

このモジュールでは、Google Cloud のデータ ウェアハウジング オプションである BigQuery について説明します。

What's included

17 videos1 assignment3 app items

主な学習ポイントのまとめ

What's included

1 video

各モジュールの PDF 版へのリンク

What's included

1 reading

Instructor

Instructor ratings
3.8 (9 ratings)
Google Cloud Training
Google Cloud
1,636 Courses2,734,082 learners

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Google Cloud

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