Building a Scalable Data Warehouse with Data Vault 2.0

Linstedt, Daniel; Olschimke, Michael

ISBN 10: 0128025107 / ISBN 13: 9780128025109

Published by Morgan Kaufmann, 2015

About this Item

Text block, wraps and binding are in like new condition, without markings of any kind. Extremely fine. Supporting Bay Area Friends of the Library since 2010. Well packaged and promptly shipped. Seller Inventory # 1LAUHV002WX4

Bibliographic Details

Title: Building a Scalable Data Warehouse with Data...

Publisher: Morgan Kaufmann

Publication Date: 2015

Binding: Soft cover

Condition: LikeNew

About this title

Synopsis:

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

Review:

This book covers everything users need to create a scalable data warehouse from scratch, including a presentation of the Data Vault modeling technique which provides the foundations to create a technical data warehouse layer, also including tactics on how to create the inner and presentation layer of the data vault 2.0 standard.