"すべてのデータ パイプラインには、データレイクとデータ ウェアハウスという 2 つの主要コンポーネントがあります。このコースでは、各ストレージ タイプのユースケースを紹介し、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を技術的に詳しく説明します。また、データ エンジニアの役割や、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確認し、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説明します。
Google Cloud でデータレイクとデータ ウェアハウスを構築する
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Google Cloud でデータレイクとデータ ウェアハウスを構築する
This course is part of multiple programs.
Instructor: Google Cloud Training
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48 reviews
Intermediate level
Some related experience required
1 week to complete
at 10 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。
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Assessments
4 assignments
Taught in Japanese
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There are 7 modules in this course
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