About Data Vault

Welcome to a fresh new start for the Data Vault Modeling and Methodology.

DATA VAULT MODEL DEFINITION:

The Data Vault is a detail oriented, historical tracking and uniquely linked set of normalized tables that support one or more functional areas of business. It is a hybrid approach encompassing the best of breed between 3rd normal form (3NF) and star schema. The design is flexible, scalable, consistent and adaptable to the needs of the enterprise.

The real-name for the Data Vault Model is: “Common Foundational Warehouse Modeling Architecture” – that it is a hybrid of 3nf and star schema, and that the only thing unique about it is the nature of the rule sets applied to the modeling structure.  Including the why/what/and reasons behind it.

RESOURCES:

The Data Vault Book on LULU.com (you can purchase it for PDF download OR for printed copy).  It is 8 1/2 by 11, full color graphics.

http://www.lulu.com/product/paperback/the-business-of-data-vault-modeling/5262245

Technical Data Vault Modeling E-Book:  Super Charge Your Data Warehouse

Available only at: http://LearnDataVault.com/purchase-book

I encourage you to watch the videos (go to the home page and register), they are jam packed with good information.

Here’s the preface from the Business Of Data Vault Modeling book:

This book presents and defines the business reasons for existence of the Data Vault. It introduces the ideas, and concepts behind the Data Vault Modeling architecture and the Data Vault methodology. The Data Vault modeling architecture is considered to be the next Generation (Generation 2) for the EDW.

This book defines the why’s, what’s, and wherefores that justify the Data Vault as the next architecture for enterprise data integration, including but not limited to the Enterprise Data Warehouse. The concepts of the Data Vault Methodology are backed by SEI/CMMI, Six Sigma, Lean Initiatives, Cycle Time Reduction, and Business Process Management (Re-engineering). It is possible to assign KPI’s, KPA’s, and apply governance to the I.T. process of managing data in a data warehousing environment. It is time that I.T. “grew up” and began managing its data warehousing processes and architectures like a business. It is time for I.T. to turn itself into a profit center (which is beyond the scope of this book).

We hope you enjoy this book.

BUY IT NOW….  CLICK HERE…