Discover how to develop scalable and high-performance LookML models with the Developing Data Models with LookML 日本語版 course. This comprehensive program equips you with the expertise to curate standardized, readily usable data to address business user inquiries efficiently. Throughout the course, you will gain the ability to create dimensions and measures, design Explores for user data access, utilize derived tables for instant table creation, and optimize SQL query performance using Looker's caching and data grouping features.
Join this course to enhance your skills in LookML modeling and effectively manage data in your organization's Looker instance.
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The Developing Data Models with LookML 日本語版 course comprises eight modules that cover the essentials of LookML modeling and data curation. Gain expertise in creating dimensions, measures, Explores, derived tables, and optimizing SQL query performance using Looker's features.
The course introduction provides an overview and welcome, along with instructions for submitting feedback.
Explore Looker and LookML, covering the platform overview, user experience, project hierarchy, and development environment, followed by a comprehension check.
Learn to model dimensions and measures using LookML, including advanced logic and practical labs to create dimensions and measures using LookML.
Understand project version management using Git, including workflow examples in Looker.
Master the description of SQL in Looker, join logic in Explores, symmetric aggregates, and Explore filtering, along with a comprehension check.
Explore derived tables, including their types, creation examples, useful parameters, and lab to create derived tables using LookML.
Discover caching and data grouping in Looker, covering cache storage and implementation of data groups, followed by a comprehension check.
Conclude the course by summarizing the key learnings and takeaways.
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