The Data Vault was invented by Dan Linstedt at the US Department of Defense & 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 20 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 20 methodology In addition readers will learn how to create the input layer (the stage layer) & the presentation layer (data mart) of the Data Vault 20 architecture including implementation best practices Drawing upon years of practical experience & using numerous examples & an easy to understand framework Dan Linstedt & 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 & practices Data Quality Services (DQS) & Master Data Services (MDS) in the context of the Data Vault architecture