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Building a Scalable Data Warehouse with Data Vault 2.0, by Dan Linstedt, Michael Olschimke
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The Data Vault was invented by Dan Linstedt at the U.S. Department of Defense, and the standard has been successfully applied to data warehousing projects at organizations of different sizes, from small to large-size corporations. Due to its simplified design, which is adapted from nature, the Data Vault 2.0 standard helps prevent typical data warehousing failures.
"Building a Scalable Data Warehouse" covers everything one needs to know to create a scalable data warehouse end to end, including a presentation of the Data Vault modeling technique, which provides the foundations to create a technical data warehouse layer. The book discusses how to build the data warehouse incrementally using the agile Data Vault 2.0 methodology. In addition, readers will learn how to create the input layer (the stage layer) and the presentation layer (data mart) of the Data Vault 2.0 architecture including implementation best practices. Drawing upon years of practical experience and using numerous examples and an easy to understand framework, Dan Linstedt and Michael Olschimke discuss:
- How to load each layer using SQL Server Integration Services (SSIS), including automation of the Data Vault loading processes.
- Important data warehouse technologies and practices.
- Data Quality Services (DQS) and Master Data Services (MDS) in the context of the Data Vault architecture.
- Provides a complete introduction to data warehousing, applications, and the business context so readers can get-up and running fast
- Explains theoretical concepts and provides hands-on instruction on how to build and implement a data warehouse
- Demystifies data vault modeling with beginning, intermediate, and advanced techniques
- Discusses the advantages of the data vault approach over other techniques, also including the latest updates to Data Vault 2.0 and multiple improvements to Data Vault 1.0
- Sales Rank: #103777 in Books
- Published on: 2015-10-13
- Original language: English
- Number of items: 1
- Dimensions: 9.10" h x 1.30" w x 7.50" l, 3.05 pounds
- Binding: Paperback
- 684 pages
About the Author
Dan has more than 25 years of experience in the Data Warehousing and Business Intelligence field and is internationally known for inventing the Data Vault 1.0 model and the Data Vault 2.0 System of Business Intelligence. He helps business and government organizations around the world to achieve BI excellence by applying his proven knowledge in Big Data, unstructured information management, agile methodologies and product development. He has held training classes and presented at TDWI, Teradata Partners, DAMA, Informatica, Oracle user groups and Data Modeling Zone conference. He has a background in SEI/CMMI Level 5, and has contributed architecture efforts to petabyte scale data warehouses and offers high quality on-line training and consulting services for Data Vault.
Michael has more than 15 years of experience in IT and has been working on business intelligence topics for the past eight years. He has consulted for a number of clients in the automotive industry, insurance industry and non-profits. In addition, he has consulted for government organizations in Germany on business intelligence topics. Michael is responsible for the Data Vault training program at D�rffler + Partner GmbH, a German consulting firm specialized in data warehousing and business intelligence. He is also a lecturer at the University of Applied Sciences and Arts in Hannover, Germany. In addition, he maintains DataVault.guru, a community site on Data Vault topics.
Most helpful customer reviews
8 of 8 people found the following review helpful.
Comprehensive Data Vault 2.0 reference manual
By M. Ferle
This book fills a huge void in Data Vault 2.0 resources. It covers everything about data vault, including data modeling, ETL processing, error handling, metadata, data quality and more, all explained in depth with sufficient examples that can be immediately put to use. Every question that I could think of relating to data vault is covered in the book. It is an excellent reference manual to have on hand while doing data vault implementations.
That said, I gave the book only four stars because there is always room for improvement. I was disappointed after reading Chapter 3, about the Data Vault 2.0 methodology. It appears that the authors threw in a bunch of various methodologies, frameworks, best practices and approaches without clearly explaining how all these parts fit together into a cohesive methodology.
The authors appear out of their depth in the project management space. They incorrectly apply the term PMP (Project Management Professional, a certification from the Project Management Institute) as a best practice. What they probably meant is that the project management aspect of the Data Vault 2.0 methodology is taken from the PMBOK (Project Management Body of Knowledge), a project management standard issued by the Project Management Institute.
I also don’t see why the authors included Scrum in the mix. The explanation of how Scrum is applied in mini-waterfall sprints is confusing and contradicting. For example, it is not clear how the Scrum roles such as scrum master and product owner translate into the mini-waterfall sprints. They state that Scrum is used for team coordination/team organization and that the team is self-organized while at the same time they designate the project manager as the person who plans the tasks within a mini-waterfall sprint. It is contradicting that on one hand the product owner participates in the sprints on a daily basis while on the other hand there is no user involvement during the development part of a sprint. In my opinion it would have been better to forget Scrum and just use the Agile Manifesto and its principles in order to bring agile thinking into the Data Vault 2.0 methodology.
5 of 5 people found the following review helpful.
Not your daddy's data warehouse!
By Kent Graziano
Full disclosure: I am a huge Data Vault fan and did help with the earlier books (but not this one). This is the Data Vault book everyone has been clamoring for for years. We finally have a book that not only teaches you how to model a Data Vault but also shows you how to load data into a DV as well as how to build Information Marts on top of it to pull the data out for reporting. This book covers the full life cycle of developing an enterprise data warehouse in an agile manner using the Data Vault method. And to top it off, this book has all the details for the enhancements that came with Data Vault 2.0. This book is to Data Vault what Dr. Kimball's Data Warehouse Lifecycle book was to dimensional modeling. If oyu can only buy on data warehouse book this year - get this one.
4 of 4 people found the following review helpful.
The most detailed and complete data vault book ever written!
By Number2
Finally, a Data Vault book that has everything you need from end-to-end to build a data vault warehouse from the ground up!
I've read the Supercharge Your Data Warehouse book from Dan, I've read all of Hans Hultgren's books, I've read and watched DV fundamentals training material, and I never really felt like I fully understood everything end to end. I grasped the big picture and was excited about the possibilities, but working alone after all of that I felt like I still didn't really have the tools I needed to complete a data vault on my own. With this book, I finally do!
This book takes you from concepts to implementation, from beginning to end. There are actual screen shots of how to create databases, what indexes to put on your vault tables, how to create an SSIS package, TSQL code, Master Data Services and Data Quality Services examples, there's MDX code, all of it. And it's not just details to get you to a data vault and then leaving you on your own to figure out the info marts, this takes you all the way to putting data in your dimension and fact tables.
All in all, this is the most complete Data Vault book that's ever been created and it's a fantastic value for the money. It's like 684 pages. Once I started, it was literally 8 hours a day for 4-5 days of plowing through all the information and going back and re-reading and getting more details out of it before I was done. It's not a book you can just flip through in a couple of hours. I HIGHLY recommend this book for anyone interested in data vault or data warehousing in general.
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