Super Charge Your Data Warehouse: Invaluable Data Modeling Rules to Implement Your Data Vault

by Daniel Linstedt, Kent Graziano (Editor)

Do You Know If Your Data Warehouse Flexible, Scalable, Secure and Will It Stand The Test Of Time And Avoid Being Part Of The Dreaded "Life Cycle"?The Data Vault took the Data Warehouse world by storm when it was released in 2001. Some of the world's largest and most complex data warehouse situations understood the value it gave especially with the capabilities of unlimited scaling, flexibility and security.Here is what industry leaders say about the Data Vault"The Data Vault is the optimal choice for modeling the EDW in the DW 2.0 framework" - Bill Inmon, The Father of Data Warehousing"The Data Vault is foundationally strong and an exceptionally scalable architecture" - Stephen Brobst, CTO, Teradata"The Data Vault should be considered as a potential standard for RDBMS-based analytic data management by organizations looking to achieve a high degree of flexibility, performance and openness" - Doug Laney, Deloitte Analytics Institute"I applaud Dan's contribution to the body of Business Intelligence and Data Warehousing knowledge and recommend this book be read by both data professionals and end users" - Howard Dresner, From the Foreword - Speaker, Author, Leading Research Analyst and AdvisorYou have in your hands the work, experience and testing of 2 decades of building data warehouses. The Data Vault model and methodology has proven itself in hundreds (perhaps thousands) of solutions in Insurance, Crime-Fighting, Defense, Retail, Finance, Banking, Power, Energy, Education, High-Tech and many more.Learn the techniques and implement them and learn how to build your Data Warehouse faster than you have ever done before while designing it to grow and scale no matter what you throw at it.Ready to "Super Charge Your Data Warehouse"?

126 pages, Kindle Edition

First published November 11, 2011

Reviews

[D · Rating 1 out of 5]

Pro's
- Gives a good grasp of how the modeling should be done
- Provides a good set of rules, a reference guide as promised
- A required evil to understand DV methodology as it's not very popular on the web yet, thus limiting the information. It helped me understand this methodology better.
- Online extra's when you acquire the book, through less user-friendly ways... (Opening a support ticket with the amazon receipt)

Con's
- Lacks more in-depth information in some chapters. Regardless of whether this modeling technique resolves some issues the DWH faces, it doesn't tackle all of the possibilities that a Kimball-grade book would.
- Bad quality print, front cover looks like it has an air of free-guitar-lesson-website-buy-now. It has some errors and layout issues as well. Is this even read twice before it's printed?
- A horrible amount of repetition in an already thin book.
- The cover doesn't really tell you anything other than the over-repeated quotes and statements from others, found on every marketing channel of data vault methodology.

[Marcel · Rating 3 out of 5]

It's a relatively quick read, but it lacks a bit of depth. But it offers some decent guidelines for DataVaults.

[Roger Cogswell · Rating 4 out of 5]

This book provides an overview of data vault modeling without the deep details included in Dan Linstedt's Data Vault 2.0 tome. Reading this will provide a valuable foundation for anyone thinking about diving into 2.0.

[Aaron Stainback · Rating 4 out of 5]

Must read for anyone who knows what the word data means

This book has changed not only the way I look at data but the way I look at the world. Thank you keep writing more like this.