Book
Jissen dbt Nyumon (A Practical Introduction to dbt)
Noritaka Sekiyama, Michiaki Nakaya, Tokimasa Toyohara, Jun Ohashi, Sotaro Hikita
Summary
A Japanese-language introduction to dbt by Noritaka Sekiyama, Michiaki Nakaya, Tokimasa Toyohara, Jun Ohashi, and Sotaro Hikita, written against a backdrop of growing interest in dbt as a tool for building efficient, high-quality data pipelines amid the rising importance of data-driven decision-making. The book works systematically through dbt's basic usage, practical data modeling, quality management, and CI/CD integration. It also uses hands-on explanations built around real business scenarios, aiming to give readers knowledge they can apply immediately to their own work.
Target Readers
- Data engineers, data analysts, BI developers, and data warehouse administrators already using dbt in the field or weighing whether to adopt it
- Teams who need dbt's basic usage, data modeling, quality management, and CI/CD integration covered systematically in one place
- Readers who want the material worked through hands-on against real business scenarios, so they can apply it to their own work straight away
Tags
Colophon
- Publisher
- Gijutsu-Hyohron
- ISBN
- 978-4-297-15786-9
- Published
- Aug 2026
- List price
- ¥3,740incl. taxMay differ from the actual selling price on Amazon
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Prerequisites
- Recommended
Tatsujin ni Manabu SQL Tettei Shinansho, 2nd Edition (A Thorough Guide to SQL, Learned from an Expert)
For Those Who Do Not Want to Remain Beginners
Mick
Reason: Once you can wield SQL as a set-oriented language—CASE expressions, window functions, self-joins—the next step is learning how to assemble that SQL into a production data-transformation pipeline. This book covers running models in dbt, structuring a project, and generating tests and documentation, connecting applied SQL knowledge to the practical operation of an analytics platform.
- Related
Tatsujin ni Manabu DB Sekkei Tettei Shinansho, 2nd Edition (A Thorough Guide to DB Design, Learned from an Expert)
Mick
Reason: After learning the normalization/denormalization trade-offs from a table-design perspective, you may want to try applying that same judgment to how you structure models on the analytics side. This book covers project structuring and model execution in dbt, offering a supplementary path for carrying the structuring mindset gained from DB design over into building analytics data models.