Introduction to data models for system design and data utilization Understanding conceptual data models that will make your business leap forward
88% of respondents would recommend this to a friend
AZN 62
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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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What Stands Out
Məhsul təfərrüatları
| 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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Manga Enthusiasts
Ideal for fans of manga looking for a durable and collectible format to enjoy and preserve their favorite series.
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Gift Buyers
A perfect present for friends or family who appreciate graphic novels or manga, especially if they enjoy bound collections.
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Casual Readers
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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Collectors Seeking First Editions
Those looking for rare first editions may not find the softcover appealing as a collectible item.
MƏHSUL TƏSVİRİ
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
Müştəri Sualları və Cavabları
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Sual:
Who can benefit from this book?
Cavab: System engineers, data engineers, data analysts, DX promoters, AI personnel, and BI professionals. -
Sual:
What will I learn from the book?
Cavab: You'll learn why concept data models are necessary and how to capture data meanings from business processes. -
Sual:
How does this book improve data utilization?
Cavab: It provides tools and knowledge to enhance data reliability, reusability, and overall organizational understanding.
データ総研 , 伊藤 洋一 Editorial Review
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AZN 62
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Xüsusiyyətlər və Üstünlüklər
- 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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