Building a Scalable Data Warehouse with Data Vault 2.0 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. In
addition the book presents tactics on how to create the input layer (the stage layer) and the
presentation layer (data mart) of the Data Vault 2.0 standard. Drawing upon years of practical
experience and using numerous examples and an easy to understand framework Dan Listedt and
Michael Olschimke discuss tactics on 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 and data quality services (DQS) and master data services
(MDS) in the context of the data vault architecture.
