Building and Maintaining a Data Warehouse, Silvers, Fon
Автор: Dan Linstedt Название: Building a Scalable Data Warehouse with Data Vault 2.0 ISBN: 0128025107 ISBN-13(EAN): 9780128025109 Издательство: Elsevier Science Рейтинг: Цена: 9262.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
TheData 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
Автор: Rainardi, Vincent Название: Building a data warehouse ISBN: 1430211962 ISBN-13(EAN): 9781430211969 Издательство: Springer Рейтинг: Цена: 10173.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Here is the ideal field guide for data warehousing implementation. Coverage then explains how to populate the data warehouse and explores how to present data to users using reports and multidimensional databases and how to use the data in the data warehouse for business intelligence, customer relationship management, and other purposes.
Описание: Single most authoritative guide from the inventor of the technique. Presents unique modeling techniques for e-commerce, and shows strategies for optimizing performance. Companion Web site provides updates on dimensional modeling techniques, links related to sites, and source code where appropriate.
Автор: Alejandro Vaisman; Esteban Zim?nyi Название: Data Warehouse Systems ISBN: 3662513501 ISBN-13(EAN): 9783662513507 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book delivers extensive coverage of data warehousing and business intelligence technologies, from basic principles to recent applications. It illustrates how all concepts can be implemented using Microsoft Analysis Services and Pentaho Business Analytics.
Автор: Eitel Maur; Robert Winter Название: Data Warehouse Management ISBN: 3642624553 ISBN-13(EAN): 9783642624551 Издательство: Springer Рейтинг: Цена: 7182.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Die Herausforderungen des Data Warehousing liegen l ngst jenseits von Grundkonzeption und Architektur, die weitestgehend gefestigt sind. Ein ganzheitliches proaktives Datenqualit tsmanagement und integriertes Metadatenmanagement sind f r ein effektives Data-Warehouse-System heute ebenso elementare Voraussetzung wie Datenschutz und Datensicherheit, die im Data-Warehouse-Umfeld neue Bedeutung erlangt haben. Zahlreiche berschneidungen und daher Synergiepotenziale bestehen mit Customer Relationship Management, Enterprise Application Integration und Knowledge Management.
Die Autoren zeigen zu diesem Zweck fundierte Konzepte und praktikable L sungen auf, die speziell im zweiten Teil anhand realer Umsetzungen mit bedeutenden europ ischen Unternehmen (UBS, Credit Suisse, Swiss Re u. a.) verdeutlicht werden.
Автор: Wolfgang Behme; Harry Mucksch Название: Data Warehouse-gest?tzte Anwendungen ISBN: 3409116591 ISBN-13(EAN): 9783409116596 Издательство: Springer Рейтинг: Цена: 5877.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In Ergдnzung zu ihrem bereits in der 4. Auflage erscheinenden Buch zum Data Warehouse-Konzept widmen sich die Autoren hier ganz der Beschreibung verschiedener Anwendungsmцglichkeiten. Der Nutzen eines Data Warehouses entsteht nicht in erster Linie durch die Speicherung, sondern vielmehr erst durch die zielgerichtete Aufarbeitung und Analyse der Informationen. Dieses fьhrt zu einer Fьlle von Einsatzmцglichkeiten (wie z.B. Balanced Scorecards oder Data Mining-Auswertungen zur Vorhersage von Gasverbrдuchen), die fьr Unternehmen gewinnbringend genutzt werden kцnnen.
Автор: Katharina Wirtz Название: Der Data-Warehouse-Rahmenplan ISBN: 3824476215 ISBN-13(EAN): 9783824476213 Издательство: Springer Рейтинг: Цена: 9794.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Katharina Wirtz untersucht wie, ausgehend von den Daten der operativen Systeme und dem Informationsbedarf der Entscheidungstr ger, eine bersichtliche Anordnung der Daten in einem Data-Warehouse erzielt werden kann.
Автор: Eitel Maur; Robert Winter Название: Data Warehouse Management ISBN: 3540005854 ISBN-13(EAN): 9783540005858 Издательство: Springer Рейтинг: Цена: 7182.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Die Herausforderungen des Data Warehousing liegen l ngst jenseits von Grundkonzeption und Architektur, die weitestgehend gefestigt sind. Ein ganzheitliches proaktives Datenqualit tsmanagement und integriertes Metadatenmanagement sind f r ein effektives Data-Warehouse-System heute ebenso elementare Voraussetzung wie Datenschutz und Datensicherheit, die im Data-Warehouse-Umfeld neue Bedeutung erlangt haben. Zahlreiche berschneidungen und daher Synergiepotenziale bestehen mit Customer Relationship Management, Enterprise Application Integration und Knowledge Management.
Die Autoren zeigen zu diesem Zweck fundierte Konzepte und praktikable L sungen auf, die speziell im zweiten Teil anhand realer Umsetzungen mit bedeutenden europ ischen Unternehmen (UBS, Credit Suisse, Swiss Re u. a.) verdeutlicht werden.
Автор: Naveen Prakash; Deepika Prakash Название: Data Warehouse Requirements Engineering ISBN: 9811349878 ISBN-13(EAN): 9789811349874 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As the first to focus on the issue of Data Warehouse Requirements Engineering, this book introduces a model-driven requirements process used to identify requirements granules and incrementally develop data warehouse fragments. In addition, it presents an approach to the pair-wise integration of requirements granules for consolidating multiple data warehouse fragments. The process is systematic and does away with the fuzziness associated with existing techniques. Thus, consolidation is treated as a requirements engineering issue.The notion of a decision occupies a central position in the decision-based approach. On one hand, information relevant to a decision must be elicited from stakeholders; modeled; and transformed into multi-dimensional form. On the other, decisions themselves are to be obtained from decision applications. For the former, the authors introduce a suite of information elicitation techniques specific to data warehousing. This information is subsequently converted into multi-dimensional form. For the latter, not only are decisions obtained from decision applications for managing operational businesses, but also from applications for formulating business policies and for defining rules for enforcing policies, respectively. In this context, the book presents a broad range of models, tools and techniques. For readers from academia, the book identifies the scientific/technological problems it addresses and provides cogent arguments for the proposed solutions; for readers from industry, it presents an approach for ensuring that the product meets its requirements while ensuring low lead times in delivery.
Автор: W. H. Inmon Название: Building the Data Warehouse, 4th Edition ISBN: 0764599445 ISBN-13(EAN): 9780764599446 Издательство: Wiley Рейтинг: Цена: 5861.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Explains the fundamentals of data warehouse systems. This book covers topics such as methods for handling unstructured data in a data warehouse and storing data across multiple storage media, and discusses the pros and cons of relational versus multidimensional design, and how to measure return on investment in planning data warehouse projects.
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