Google Cloud
Achieving Advanced Insights with BigQuery 日本語版

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Google Cloud

Achieving Advanced Insights with BigQuery 日本語版

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
7 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
7 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • BigQuery で利用できる高度な SQL 関数について学習する。

  • BigQuery の開発によってスケーリングの制限の問題がどう解決されたかを、従来のデータベースがデータセットのスケーリングに対処するために遂げてきた進化と比較して理解する。

  • BigQuery のパフォーマンスに影響を与える基本的な作業と、クエリを最適化してスピードを向上させる方法を確認する。

  • Google Cloud と BigQuery ツールのうち、権限の管理とデータの共有に利用できるものを確認する。

Details to know

Shareable certificate

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Assessments

4 assignments

Taught in Japanese

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Build your subject-matter expertise

This course is part of the From Data to Insights with Google Cloud 日本語版 Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 7 modules in this course

本コースで学習する大まかな内容

What's included

1 video

統計的近似、分析ウィンドウ クエリ、ユーザー定義関数、WITH 句などの高度なファンクションについて学ぶことで、BigQuery での SQL について理解を深めます。

What's included

5 videos1 assignment1 app item

従来のデータベースがデータセットのスケールを処理する方法の進化について説明し、スケールの制約に対処するために BigQuery がどのように開発されたかを比較します。非正規化 BigQuery データ構造の重要な部分である、ネストされたフィールドと繰り返しフィールドについて詳しく説明します。

What's included

7 videos1 assignment1 app item

BigQuery のパフォーマンスに影響を与える基本的な作業と、クエリを最適化してスピードを向上させる方法について学びます。

What's included

4 videos1 assignment1 app item

Vertex AI Workbench の概要 -- データ サイエンティスト ツールキットの主なツール -- アナリストはスケーラブルなクラウド ノートブックを使用して共同作業ができるようになります。

What's included

1 reading1 app item

BigQuery データセットの保護と共有は、どの組織にとっても重要です。Google Cloud と BigQuery ツールのうち、権限の管理とデータの共有に利用できるものについて学びます。

What's included

1 video1 assignment

コースの主な学習ポイントのまとめ

What's included

1 video

Instructor

Google Cloud Training
Google Cloud
1,664 Courses2,750,269 learners

Offered by

Google Cloud

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