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An Introduction to Agile Data Engineering Using Data Vault 2.0: Better Data Modeling
81% of respondents would recommend this to a friend
MKD 1525
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What Stands Out
Product Details
| Publisher | Independently published |
| Publication date | November 22, 2015 |
| Language | English |
| Print length | 50 pages |
| ISBN-10 | 1796584932 |
| ISBN-13 | 978-1796584936 |
| Item Weight | 6.7 ounces (189.95 grams) |
| Dimensions | 8.5 x 0.12 x 11 inches (21.6 x 0.3 x 27.9 cm) |
Who Should Buy?
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Data Professionals
Data engineers and analysts seeking to enhance their skills in agile data modeling using Data Vault 2.0.
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Agile Teams
Teams adopting Agile methodologies looking for efficient data engineering practices to improve collaboration and delivery speed.
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Businesses Transitioning
Organizations transitioning to data-driven strategies that need robust and scalable data modeling frameworks for improved insights.
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Beginners
Individuals with no prior understanding of data engineering or modeling may find the content too advanced or technical.
Product Description
An Introduction to Agile Data Engineering Using Data Vault 2.0: Better Data Modeling
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Data Modeling & Design Editorial Review
**** The reception of this book on Data Vault modeling has been largely mixed, with numerous customers expressing disappointment regarding its presentation and depth. Despite its recognition in the field, many readers found it to be lacking substance, describing it as more of a pamphlet than a comprehensive guide. While the book promises an overview of Data Vault concepts, those familiar with the subject matter felt it merely rehashes existing knowledge without offering significant new insights. The layout was criticized heavily, particularly the small size of the ER diagrams, making it difficult to glean valuable information even with magnification. The absence of page numbers added to the frustration, compounding issues linked to its self-published nature and overall editing quality. On the positive side, some reviews acknowledged that the content, albeit compact and straightforward, is valuable for newcomers to the Data Vault methodology. While it touches on various data vault structures, seasoned readers recommend supplementing this book with more comprehensive texts like Lindsted's DV2 for a deeper understanding. There is also a perception that the primary insights available could likely be gleaned from Kent's blog, suggesting that the book may not be the most effective medium for learning. For readers specifically seeking an introductory or simplified view of Data Vault modeling, this book might serve as a useful starting point. However, those with prior exposure to the concepts may find it largely unfulfilling and poorly formatted. **
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Pros
- Compact and to-the-point overview useful for beginners.
- Solid foundational knowledge, albeit not extensive.
- Could serve as a catalyst for further exploration of the subject through other resources.
Cons
- Poor layout and formatting, especially with ER diagrams being unreadable.
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