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Building a scalable data warehouse with Data Vault 2.0.

By: Contributor(s): Material type: TextOriginal language: English Publisher: USA : Morgan Kaufmann, Elsevier, 2016Description: 661 páginas : : figuras ; tablesContent type:
  • texto
Media type:
  • sin mediación
Carrier type:
  • volumen
ISBN:
  • 9780128025109
Subject(s): DDC classification:
  • 23 005.745 L759
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
Summary: 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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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
LIBROS - MATERIAL GENERAL BIBLIOTECA CENTRAL General 005.745 L759 (Browse shelf(Opens below)) Ej.:1 Available 086920
Total holds: 0

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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