Building a scalable data warehouse with Data Vault 2.0
By: Linstedt, Daniel
Contributor(s): Olschimke, MichaelMaterial type: 
TextOriginal language: English Publisher: USA : Morgan Kaufmann, Elsevier, 2016Description: 661 p. : fig. ; tabISBN: 9780128025109Subject(s): Data warehousing | Transaction processing systems | Database designDDC classification: 005.745 | Item type | Current location | Call number | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
LIBROS - MATERIAL GENERAL
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BIBLIOTECA CENTRAL General | 005.745 L759 (Browse shelf) | Ej.:1 | Available | 086920 |
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Table of contents.
Chapter 1: Introduction to Data Warehousing. -- Chapter 2: Scalable Data Warehouse Architecture. -- Chapter 3: The Data Vault 2.0 Methodology. -- Chapter 4: Data Vault 2.0 Modeling. -- Chapter 5: Intermediate Data Vault Modeling. -- Chapter 6: Advanced Data Vault Modeling. -- Chapter 7: Dimensional Modeling. -- Chapter 8: Physical Data Warehouse Design. -- Chapter 9: Master Data Management. -- Chapter 10: Metadata Management. -- Chapter 11: Data Extraction. -- Chapter 12: Loading the Data Vault. -- Chapter 13: Implementing Data Quality. -- Chapter 14: Loading the Dimensional Information Mart. -- Chapter 15: Multidimensional Database
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.
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