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Daniel Linstedt, Michael Olschimke, in Building a Scalable Data Warehouse with Data Vault 2.0, 2016. Abstract. Data Vault modeling is not a replacement for dimensional modeling, which is an industry standard for defining the data mart (the layer used to present the data to the end-user). Because the book is meant to cover the whole process of building a data warehouse end-to-end, it also
Kent Graziano is a recognized industry expert, leader, trainer, and published author in the areas of data modeling, data warehousing, data architecture, and various Oracle tools (like Oracle Designer and Oracle SQL Developer Data Modeler). A certified Data Vault Master, Data Vault 2.0 Practitioner (CDVP2), and an Oracle ACE Director with over 30 years experience in the Information Technology Download PDF The Official Lsat Superprep Ii book full free. The Official Lsat Superprep Ii available for download and read online in other formats. 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. 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. Data Vault 2.0 has a focus on including new components such as Big Data, NoSQL - and also focuses on performance of the existing model. The old specification (documented here for the most part) is highly focused on data vault modeling. It is documented in the book: Building a Scalable Data Warehouse with Data Vault 2.0.