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Can I read Building a Scalable Data Warehouse with Data Vault 2.0 : Implementation Guide for Microsoft SQL Server 2014 on EtoBox?

Building a Scalable Data Warehouse with Data Vault 2.0 : Implementation Guide for Microsoft SQL Server 2014 by Linstedt, Daniel, Olschimke, Michael is a nonfiction available to read on EtoBox.

What is Building a Scalable Data Warehouse with Data Vault 2.0 : Implementation Guide for Microsoft SQL Server 2014 about?

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 p

Who reads Building a Scalable Data Warehouse with Data Vault 2.0 : Implementation Guide for Microsoft SQL Server 2014?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Linstedt, Daniel, Olschimke, Michael
Publisher
Elsevier Science & Technology Books; Morgan Kaufmann
Published
2016
Language
EN
ISBN
9780128025109
Category
nonfiction
Subjects
Science, Computer Science, Social Science

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