Introduction to data models for system design and data utilization Understanding conceptual data models that will make your business leap forward
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深め、共通理解へと導くコミュニケーションツールである「概念データモデル」
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Produkto Aprašymas
| Publisher | u7fd4u6cf3u793e |
| Publication date | December 15, 2025 |
| Language | Japanese |
| Print length | 388 pages |
| ISBN-10 | 479819008X |
| ISBN-13 | 978-4798190082 |
| Item Weight | 530 g |
| Dimensions | 8.27 x 5.83 x 1.06 inches (21 x 14.8 x 2.7 cm) |
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Fits well for individuals who like to read in a relaxed format, benefiting from the softcover design that's easy to handle.
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Those looking for rare first editions may not find the softcover appealing as a collectible item.
PRODUKTO APRAŠYMAS
Introduction to data models for system design and data utilization Understanding conceptual data models that will make your business leap forward DATA UTILIZATION Tankobon Softcover – December 15, 2025
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データ総研 , 伊藤 洋一 Editorial Review
システム設計・データ活用のためのデータモデル入門 ビジネスを飛躍させる概念データモデルの理解 DATA UTILIZATION is an insightful guide published by ひらがな which focuses on the understanding of conceptual data models essential for data utilization in business. The book, released on December 15, 2025, is written in Japanese and spans 388 pages, making it a comprehensive resource for professionals and students alike. It explores the critical aspects of data modeling necessary for optimizing business practices. With a weight of 530 grams and dimensions of 8.27 x 5.83 x 1.06 inches, it’s designed for easy handling and reading, thus adding to its appeal as a must-have reference material.
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Argumentai
- In-depth understanding of data models
- Ideal for business applications
- Comprehensive 388-page guide
- User-friendly dimensions
- Focus on practical data utilization
Minusai
- Publication date is in the future, 2025.
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Savybės ir privalumai
- Unlock the potential of your data with a shared understanding.
- Overcome communication barriers across departments.
- Learn about concept data models and their importance.
- Enhance data reliability and reusability.
- Perfect for system engineers, data analysts, and DX promoters.
- Dive into practical knowledge for effective data utilization.
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