Picture 1 of 1
Stock photo
Picture 1 of 1
Stock photo
Building a Scalable Data Warehouse with Data Vault 2. 0 by Daniel Linstedt and Michael Olschimke (2015, Trade Paperback)
F
FashionEmoire99 (510)
99.3% positive feedback
Price:
$48.34
Returns:
14 days returns. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.
Condition:
Sku: 68522POZZZ. Condition: New. Qty Available: 1.
- Buy It NowBuilding a Scalable Data Warehouse with Data Vault 2.0
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
About this product
Product Identifiers
PublisherElsevier Science & Technology
ISBN-100128025107
ISBN-139780128025109
eBay Product ID (ePID)211821030
Product Key Features
Number of Pages684 Pages
Publication NameBuilding a Scalable Data Warehouse with Data Vault 2. 0
LanguageEnglish
Publication Year2015
SubjectManagement Information Systems, Data Processing, Databases / Data Warehousing, Databases / General
TypeTextbook
AuthorDaniel Linstedt, Michael Olschimke
Subject AreaComputers
FormatTrade Paperback
Dimensions
Item Length9.2 in
Item Width7.5 in
Additional Product Features
Intended AudienceCollege Audience
Table Of ContentChapter 1. Introduction to Data WarehousingChapter 2. Scalable Data Warehouse ArchitectureChapter 3. The Data Vault 2.0 MethodologyChapter 4. Data Vault 2.0 ModelingChapter 5. Intermediate Data Vault ModelingChapter 6. Advanced Data Vault ModelingChapter 7. Dimensional ModelingChapter 8. Physical Data Warehouse DesignChapter 9. Master Data Managment Chapter 10. Metadata Managment Chapter 11. Data ExtractionChapter 12. Loading the Data Vault Chapter 13. Implementing Data Quality Chapter 14. Loading the Dimensional Information MartChapter 15. Multidemensional Database
SynopsisThe 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 processes. Important data warehouse technologies and practices. Data Quality Services (DQS) and Master Data Services (MDS) in the context of the Data Vault architecture. Provides a complete introduction to data warehousing, applications, and the business context so readers can get-up and running fast Explains theoretical concepts and provides hands-on instruction on how to build and implement a data warehouse Demystifies data vault modeling with beginning, intermediate, and advanced techniques Discusses the advantages of the data vault approach over other techniques, also including the latest updates to Data Vault 2.0 and multiple improvements to Data Vault 1.0, 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 processes. Important data warehouse technologies and practices. Data Quality Services (DQS) and Master Data Services (MDS) in the context of the Data Vault architecture.
LC Classification NumberQA76.9.D37
All listings for this product
Be the first to write a review
