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The data vault methodology presents a unique opportunity to model the enterprise data warehouse using the same automation principles applicable in today’s software delivery, continuous integration, continuous delivery and continuous deployment while still maintaining the standards expected for governing a corporation’s most valuable asset: data.
The Data Vault Guru: a pragmatic guide on building a data vault
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The data vault methodology presents a unique opportunity to model the enterprise data warehouse using the same automation principles applicable in today’s software delivery, continuous integration, continuous delivery and continuous deployment while still maintaining the standards expected for governing a corporation’s most valuable asset: data.
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What Stands Out
Produkta informācija
- Pragmatic guide on building a data vault
- Covers unique list of business objects representing domains or concepts within the enterprise
- Explains the context links representing relationships between business objects
- Discusses satellites for descriptive change-tracking content
- Includes details on hub-satellite and link-satellite structures
| Publisher | Independently published |
| Publication date | October 6, 2020 |
| Language | English |
| Print length | 676 pages |
| ISBN-13 | 979-8691308086 |
| Item Weight | 3.43 pounds (1.56 kg) |
| Dimensions | 8 x 1.59 x 10 inches (20.3 x 4 x 25.4 cm) |
Who Should Buy?
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Data Professionals
Data analysts, architects, and engineers seeking to enhance their understanding of data vault methodologies will find this guide helpful.
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Business Intelligence Teams
Teams involved in data warehousing and analytics can leverage the insights from this book to improve their data models.
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Project Managers
Project managers overseeing data-driven projects will benefit from practical strategies to ensure effective data management processes.
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Beginners
Novices without prior knowledge of data warehousing concepts may struggle to grasp the advanced topics discussed in this guide.
PRODUKTA APRAKSTS
The Data Vault Guru: a pragmatic guide on building a data vault
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Data Modeling & Design Editorial Review
**** *The Data Vault Guru: A Pragmatic Guide on Building a Data Vault* by Patrick Cuba has established itself as a valuable resource for professionals delving into Data Vault methodologies. One of its significant strengths is the depth of practical advice it provides on specific challenges, such as hash key collisions, multi-tenancy issues, and bitemporal loading. Readers appreciate Cuba's informal yet knowledgeable approach, melding practical experience with tangible examples that can assist Data Vault practitioners in overcoming real-world hurdles. However, while the book is rich in content, it is often criticized for its verbosity, making the extraction of key insights a challenging task for readers. This wordiness can detract from the otherwise solid information. Additionally, it’s important to note that Cuba’s work should be viewed as a supplementary guide rather than a standalone text. Many users err in treating it as a definitive guide, overcomplicating their implementations with unnecessary solutions for problems that may not be relevant to their specific context. This can inadvertently lead to inefficient systems that are resistant to change. Another prevalent concern is the book's grammatical quality, which has drawn complaints about the clarity of its Prose, potentially hindering the reader's experience. Despite these drawbacks, the Consensus remains that *The Data Vault Guru* is a profoundly insightful wellspring of knowledge, particularly for those already familiar with Data Vault concepts. Readers are encouraged to utilize it judiciously in tandem with Linstedt’s foundational framework to maximize the effectiveness of their Data Vault implementations. **
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Pros
- Provides practical solutions for specific Data Vault challenges.
- Offers in-depth exploration of advanced topics like multi-tenancy and hash key collisions.
- Good resource for readers looking to deepen their understanding of Data Vault.
Mīnusi
- Overly verbose, making it difficult to extract key insights quickly.
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Funkcijas un priekšrocības
- The book is a thorough guide on how to deliver a data model that flexes as the enterprise flexes
- Provides some of the best practices for modern day data compliance
- The book will delve into every data vault modelling artefact, its automation with sample code, raw vault, business vault, testing framework, a build framework, sample data vault models, how to build automation patterns on top of a data vault and even offer an extension of data vault
- Variation of data vault designed to provide audit trails, metadata control and integration with agile delivery tools
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