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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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What's inside

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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ディメンションとメジャーのモデル化
This module reviews how to model new dimensions and measures using LookML.
プロジェクトのバージョン管理
このモジュールでは、Looker を Git と統合して LookML プロジェクトのバージョンを管理する方法を確認します。
モデルファイル
このモジュールでは、デベロッパーがビジネス ユーザー向けのカスタム Explore の設計と構築を開始するための、LookML プロジェクトのモデルファイルについて詳しく説明します。
派生テーブル
このモジュールでは、Looker の派生テーブルを使用して、基礎となるデータベースにまだ存在していない新しいカスタム テーブルを作成する方法を説明します。
キャッシュとデータグループ
このモジュールでは、Looker でのキャッシュ保存の仕組みと、デベロッパーがデータグループを使用してキャッシュ ポリシーを管理する方法について概要を説明します。
コースのまとめ
このモジュールでは、このコースで取り扱ったトピックの概要を説明します。

Good to know

Know what's good
, what to watch for
, 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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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 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.
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.
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.
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.
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.
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.
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.
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.
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.

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.
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。
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。
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。
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。
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。
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。

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