Dan Linstedt Building a Scalable Data Warehouse with Data Vault 2.0 9780128025109

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Elsevier

Автор: Dan Linstedt
Название: Building a Scalable Data Warehouse with Data Vault 2.0
Перевод названия: Дэн Линстедт: Создание базы измеряемых данных с помощью пакета Data Vault 2.0
ISBN: 9780128025109
Издательство: Elsevier Science
Классификация:

Библиотековедение, архивоведение и информационное обеспечение

Информационные технологии: общие вопросы

Базы данных

ISBN-10: 0128025107
Обложка/Формат: Paperback
Страницы: 640
Вес: 1.266 кг.
Дата издания: 02.10.2015
Серия: Computing
Язык: English
Размер: 195 x 234 x 38
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание:

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

Building a Scalable Data Warehouse with Data Vault 2.0, Dan Linstedt