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Developing Data Models with LookML 日本語版

Google Cloud Training

このコースを受講すると、スケーラブルで高パフォーマンスの LookML（Looker モデリング言語）を開発し、ビジネス ユーザーの疑問解決に必要な、標準化されたすぐに使えるデータを提供できるようになります。このコースの修了時には、組織の Looker インスタンスでデータをキュレートして管理するための LookML モデルの構築と維持が可能になります。

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Syllabus

コースの概要
このモジュールでは、Looker デベロッパー向けの LookML に関するコースをご紹介します。
Looker と LookML の概要
このモジュールでは、Looker の概要と LookML デベロッパー向けの Looker 統合開発環境（IDE）について説明します。
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
対象ユーザーはLookMLを使用してLookerのカスタム探索を設計および構築することが想定されています。
Lookerの統合開発環境（IDE）に重点を置いてLookMLの概要を説明します。
データベースに存在しない新しいカスタムテーブルを作成するLookerの派生テーブルを取り上げます。
ディメンションとメジャーのモデリング、プロジェクトのバージョン管理、モデルファイルの設計に関するトレーニングを実施しています。
Lookerの使用に関する背景知識を要求します。

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Reviews summary

Lookmlデータモデリング実践と日本語での学習

学習者によると、この「Developing Data Models with LookML 日本語版」コースは、LookMLを用いたスケーラブルで高パフォーマンスなデータモデルの開発において非常に実践的かつ効果的であると評価されています。特に、日本語による丁寧な解説は、英語資料に不慣れな受講者にとって学習の障壁を大幅に低減し、スムーズな理解を促しています。コース内容は、ディメンションとメジャーのモデル化、派生テーブル、キャッシュとデータグループ、プロジェクトのバージョン管理といった業務に直結する重要な概念を網羅的かつ体系的に扱っています。多くの受講者が、学んだ知識を即座に実務で活用し、Lookerプロジェクトの効率向上と品質向上に貢献したと述べています。一方で、データモデリングの経験が浅い初学者には内容が難しく感じる場合があるほか、より高度なテクニックや最新のLookerアップデートへの対応を望む声も一部にあります。全体的には、Lookerを使ったデータ分析業務に携わる専門家にとって必修のコースとして強く推奨されています。
一部情報が古い可能性あり、最新アップデート対応に期待。
"一部古い情報が含まれているような気がします。最新のLookerのアップデートに対応できていればさらに良い。"
"Lookerの進化が速いため、コース内容も定期的に更新されるとさらに価値が高まると思います。"
日本語版でスムーズな学習体験を提供。
"日本語での解説も丁寧で、迷うことなく学習を進められました。"
"日本語版なので、英語の資料を読む手間が省けました。"
"特に日本語版というのがありがたいです。資料も充実しており、復習にも最適です。"
"英語の専門用語に悩むことなく、内容に集中して理解を深められました。"
業務で即活用できるLookMLモデリング能力を習得。
"LookMLのデータモデリングについて、非常に実践的で分かりやすいコースでした。特に派生テーブルやキャッシュの扱いは業務で直結する内容で、すぐに活用できました。"
"実践的な内容が多く、実際の業務でLookMLを使う人にはとても良いでしょう。"
"まさに求めていたコースでした。LookMLのベストプラクティスを学べ、プロジェクトの品質が向上しました。"
"学んだ知識をすぐに実際のLookerプロジェクトに適用でき、効率が上がりました。"
高度なLookMLテクニックや最適化の深掘りなし。
"期待していたほどの内容ではなかったです。基本的な部分はカバーされていましたが、より高度なLookMLのテクニックやパフォーマンスチューニングについては触れられていませんでした。中級者以上には物足りないかもしれません。"
"より複雑なLookMLのユースケースや、大規模データセットでのパフォーマンス最適化に関する情報が不足していると感じました。"
データモデリング未経験者には難易度が高い可能性。
"データモデリングの経験が少ない私には少し難しく感じました。基本的なSQL知識は前提とのことでしたが、それ以上の理解が求められる場面もあり、もう少し丁寧な導入があれば良かったです。"
"LookMLの概念に不慣れなため、時々説明についていくのが大変でした。"
"SQLやデータモデリングの基礎がないと、少し理解に時間がかかるかもしれません。"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Developing Data Models with LookML 日本語版 with these activities:
Review previous LookML projects
Reviewing previous LookML projects will help you refresh your memory on the key concepts and techniques used in LookML, making it easier to follow along with the course material and apply your knowledge to new projects.
Browse courses on LookML
Show steps
  • Gather your existing LookML projects.
  • Go through each project, paying attention to the data model, visualizations, and calculations used.
Participate in a LookML study group
Participating in a LookML study group will provide you with opportunities to discuss course material with peers, share knowledge, and work through problems together, enhancing your understanding and retention of the concepts covered in the course.
Show steps
  • Find or create a LookML study group.
  • Meet regularly to discuss course material, share knowledge, and work through problems.
Create a LookML model from scratch
Creating a LookML model from scratch will allow you to apply the concepts and techniques you learn in the course to a real-world scenario, reinforcing your understanding and improving your proficiency in LookML.
Show steps
  • Choose a dataset to model.
  • Create a new LookML project.
  • Define the dimensions and measures in your model.
  • Create visualizations and calculations based on your model.
One other activity
Expand to see all activities and additional details
Show all four activities
Build a Looker dashboard for a specific business use case
Building a Looker dashboard for a specific business use case will challenge you to apply your LookML knowledge to a practical problem, demonstrating your ability to use Looker to solve real-world data analysis challenges.
Show steps
  • Identify a business use case for a dashboard.
  • Gather the necessary data and create a LookML model.
  • Design and build the dashboard, including visualizations, filters, and calculations.
  • Share the dashboard with stakeholders and gather feedback.

Career center

Learners who complete Developing Data Models with LookML 日本語版 will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts design, implement, and maintain data systems, including data warehouses, data lakes, and data marts. They work with a variety of stakeholders, including business users, data engineers, and data scientists, to ensure that data is accurate, accessible, and usable. The Developing Data Models with LookML course may be useful for aspiring Data Analysts, as it provides a foundation in data modeling and LookML, a powerful tool for building data models in Looker. The course covers topics such as dimension and measure modeling, project version control, model files, derived tables, and cache and data groups.
See salaries and explore the career path for Data Analyst
Data Engineer
Data Engineers design, build, and maintain data pipelines and infrastructure. They work with a variety of data sources, including relational databases, NoSQL databases, and cloud-based data warehouses. The Developing Data Models with LookML course may be useful for aspiring Data Engineers, as it provides a foundation in data modeling and LookML, a powerful tool for building data models in Looker. The course covers topics such as dimension and measure modeling, project version control, model files, derived tables, and cache and data groups.
See salaries and explore the career path for Data Engineer
Data Scientist
Data Scientists use data to build models and algorithms that can solve business problems. They work with a variety of data sources, including structured and unstructured data. The Developing Data Models with LookML course may be useful for aspiring Data Scientists, as it provides a foundation in data modeling and LookML, a powerful tool for building data models in Looker. The course covers topics such as dimension and measure modeling, project version control, model files, derived tables, and cache and data groups.
See salaries and explore the career path for Data Scientist
Business Intelligence Analyst
Business Intelligence Analysts use data to create reports and dashboards that help businesses make better decisions. They work with a variety of stakeholders, including business users, data engineers, and data scientists. The Developing Data Models with LookML course may be useful for aspiring Business Intelligence Analysts, as it provides a foundation in data modeling and LookML, a powerful tool for building data models in Looker. The course covers topics such as dimension and measure modeling, project version control, model files, derived tables, and cache and data groups.
See salaries and explore the career path for Business Intelligence Analyst
Data Architect
Data Architects design and implement data management solutions. They work with a variety of stakeholders, including business users, data engineers, and data scientists. The Developing Data Models with LookML course may be useful for aspiring Data Architects, as it provides a foundation in data modeling and LookML, a powerful tool for building data models in Looker. The course covers topics such as dimension and measure modeling, project version control, model files, derived tables, and cache and data groups.
See salaries and explore the career path for Data Architect
Database Administrator
Database Administrators manage and maintain databases. They work with a variety of database technologies, including relational databases, NoSQL databases, and cloud-based databases. The Developing Data Models with LookML course may be useful for aspiring Database Administrators, as it provides a foundation in data modeling and LookML, a powerful tool for building data models in Looker. The course covers topics such as dimension and measure modeling, project version control, model files, derived tables, and cache and data groups.
See salaries and explore the career path for Database Administrator
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with a variety of programming languages and technologies. The Developing Data Models with LookML course may be useful for aspiring Software Engineers, as it provides a foundation in data modeling and LookML, a powerful tool for building data models in Looker. The course covers topics such as dimension and measure modeling, project version control, model files, derived tables, and cache and data groups.
See salaries and explore the career path for Software Engineer
Data Visualization Engineer
Data Visualization Engineers design and develop data visualizations. They work with a variety of data visualization tools and technologies. The Developing Data Models with LookML course may be useful for aspiring Data Visualization Engineers, as it provides a foundation in data modeling and LookML, a powerful tool for building data models in Looker. The course covers topics such as dimension and measure modeling, project version control, model files, derived tables, and cache and data groups.
See salaries and explore the career path for Data Visualization Engineer
Data Warehouse Architect
Data Warehouse Architects design and implement data warehouses. They work with a variety of data sources and technologies. The Developing Data Models with LookML course may be useful for aspiring Data Warehouse Architects, as it provides a foundation in data modeling and LookML, a powerful tool for building data models in Looker. The course covers topics such as dimension and measure modeling, project version control, model files, derived tables, and cache and data groups.
See salaries and explore the career path for Data Warehouse Architect

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Developing Data Models with LookML 日本語版.
Cover image
Integrative Medicine - E-Book
Save
公式ドキュメントであり、LookML開発者のための包括的なリファレンスを提供します。
Integrative Medicine - E-Book
Paperback
Check
Integrative Medicine - E-Book
Kindle Edition
Check
Cover image
A Nation of Neighborhoods
Save
Looker の公式ドキュメンテーションには、LookML に関する詳細なリファレンス情報が含まれています。このコースのトピックに関する追加情報を提供します。
(English) A Nation of Neighborhoods: Imagining Cities,...
Paperback
$$
(English) A Nation of Neighborhoods: Imagining Cities,...
Kindle Edition
$$
Cover image
The Kimball Group Reader
Save
この本は、データ ウェアハウスの設計と構築に関する包括的なガイドです。LookML モデルを作成する際に重要な基本的な概念を理解するのに役立ちます。
The Kimball Group Reader
Paperback
Check
The Kimball Group Reader
Kindle Edition
Check
Cover image
Market Response Models
Save
この本は、ビジネス ユーザー向けにデータをモデリングする方法に関するガイドです。LookML モデルを作成する際にデータのニーズを理解するのに役立ちます。
(English) Market Response Models: Econometric and Time Series...
Paperback
$$$$
(English) Market Response Models: Econometric and Time Series...
Hardcover
$$$$
Cover image
Kimball's Data Warehouse Toolkit Classics, 3 Volume...
Save
データウェアハウス設計とモデリングに関する包括的なガイドを提供します。LookML データモデルの設計をより広範なデータウェアハウスのコンテキストに配置するのに役立ちます。
(English) Kimball's Data Warehouse Toolkit Classics, 3 Volume...
Paperback
$$$$
Cover image
Visual Explanations
Save
Looker で構築されたダッシュボードとビジュアライゼーションを効果的に設計するためのガイドを提供します。
Visual Explanations
Paperback
Check
Visual Explanations
Kindle Edition
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Course image
Effort
6 hours to complete
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
日本語
Transcript
English
This course belongs to a collection called Creating a Business Value with Data and Looker 日本語版. It's comprised of three courses:
  1. Developing Data Models with LookML 日本語版 (viewing)
  2. Analyzing and Visualizing Data in Looker 日本語版
  3. Exploring Data Transformation with Google Cloud - 日本語版
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
対象ユーザーはLookMLを使用してLookerのカスタム探索を設計および構築することが想定されています。
Lookerの統合開発環境（IDE）に重点を置いてLookMLの概要を説明します。
データベースに存在しない新しいカスタムテーブルを作成するLookerの派生テーブルを取り上げます。
ディメンションとメジャーのモデリング、プロジェクトのバージョン管理、モデルファイルの設計に関するトレーニングを実施しています。
Lookerの使用に関する背景知識を要求します。
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