Building a Scalable Data Warehouse with Data Vault 2.0

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9780128025109: Building a Scalable Data Warehouse with Data Vault 2.0
Présentation de l'éditeur :

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.


  • 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

Biographie de l'auteur :

Dan has more than 25 years of experience in the Data Warehousing and Business Intelligence field and is internationally known for inventing the Data Vault 1.0 model and the Data Vault 2.0 System of Business Intelligence. He helps business and government organizations around the world to achieve BI excellence by applying his proven knowledge in Big Data, unstructured information management, agile methodologies and product development. He has held training classes and presented at TDWI, Teradata Partners, DAMA, Informatica, Oracle user groups and Data Modeling Zone conference. He has a background in SEI/CMMI Level 5, and has contributed architecture efforts to petabyte scale data warehouses and offers high quality on-line training and consulting services for Data Vault.

Michael has more than 15 years of experience in IT and has been working on business intelligence topics for the past eight years. He has consulted for a number of clients in the automotive industry, insurance industry and non-profits. In addition, he has consulted for government organizations in Germany on business intelligence topics. Michael is responsible for the Data Vault training program at Dörffler + Partner GmbH, a German consulting firm specialized in data warehousing and business intelligence. He is also a lecturer at the University of Applied Sciences and Arts in Hannover, Germany. In addition, he maintains DataVault.guru, a community site on Data Vault topics.

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Dan Linstedt, Michael Olschimke
Edité par Morgan Kaufmann Publishers In 2015-10-01 (2015)
ISBN 10 : 0128025107 ISBN 13 : 9780128025109
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Dan Linstedt, Michael Olschimke
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Description du livre ELSEVIER SCIENCE TECHNOLOGY, United States, 2015. Paperback. État : New. 235 x 190 mm. Language: English . Brand New Book. 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. N° de réf. du libraire AAZ9780128025109

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Dan Linstedt, Michael Olschimke
Edité par ELSEVIER SCIENCE TECHNOLOGY, United States (2015)
ISBN 10 : 0128025107 ISBN 13 : 9780128025109
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Description du livre ELSEVIER SCIENCE TECHNOLOGY, United States, 2015. Paperback. État : New. 235 x 190 mm. Language: English . Brand New Book. 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. N° de réf. du libraire AAZ9780128025109

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Dan Linstedt, Michael Olschimke
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ISBN 10 : 0128025107 ISBN 13 : 9780128025109
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Description du livre Morgan Kaufmann, 2015. État : New. Num Pages: 684 pages. BIC Classification: UND. Category: (P) Professional & Vocational. Dimension: 195 x 234 x 38. Weight in Grams: 1314. . 2015. 1st Edition. Paperback. . . . . . N° de réf. du libraire V9780128025109

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Description du livre Elsevier Science & Technology. Paperback. État : new. BRAND NEW, Building a Scalable Data Warehouse with Data Vault 2.0, Dan Linstedt, Michael Olschimke, 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. * 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. N° de réf. du libraire B9780128025109

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Description du livre Morgan Kaufmann. État : New. Num Pages: 684 pages. BIC Classification: UND. Category: (P) Professional & Vocational. Dimension: 195 x 234 x 38. Weight in Grams: 1314. . 2015. 1st Edition. Paperback. . . . . Books ship from the US and Ireland. N° de réf. du libraire V9780128025109

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Description du livre Paperback. État : New. Not Signed; 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. book. N° de réf. du libraire ria9780128025109_rkm

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