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Idioma: Inglés
Publicado por Morgan Kaufmann Publishers, 2015
ISBN 10: 0128025107 ISBN 13: 9780128025109
Librería: ThriftBooks-Atlanta, AUSTELL, GA, Estados Unidos de America
EUR 29,53
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Añadir al carritoPaperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Librería: Idaho Youth Ranch Books, Boise, ID, Estados Unidos de America
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Añadir al carritoCondición: Very Good. SIGNED BY DANIEL LINSTEDT A copy that has been read, but remains in excellent condition. Pages are intact and are not marred by notes or highlighting. The spine remains undamaged. There are no stickers on book or rips in dust cover.
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 65,52
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Idioma: Inglés
Publicado por Elsevier Science and Technology, US, 2015
ISBN 10: 0128025107 ISBN 13: 9780128025109
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 67,82
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Añadir al carritoPaperback. Condición: New. 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.
Idioma: Inglés
Publicado por Morgan Kaufmann 2015-10-02, 2015
ISBN 10: 0128025107 ISBN 13: 9780128025109
Librería: Chiron Media, Wallingford, Reino Unido
EUR 56,40
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: Majestic Books, Hounslow, Reino Unido
EUR 66,82
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Añadir al carritoCondición: New. pp. 640.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 59,33
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Elsevier Science & Technology, San Francisco, 2015
ISBN 10: 0128025107 ISBN 13: 9780128025109
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 79,68
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Añadir al carritoPaperback. Condición: new. Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Morgan Kaufmann Publishers In 2015-10-01, 2015
ISBN 10: 0128025107 ISBN 13: 9780128025109
Librería: Chiron Media, Wallingford, Reino Unido
EUR 62,90
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Añadir al carritoPaperback. Condición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 66,36
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 65,45
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Añadir al carritoPaperback. Condición: Brand New. 1st edition. 684 pages. 9.25x7.50x1.75 inches. In Stock.
Idioma: Inglés
Publicado por Elsevier Science and Technology, US, 2015
ISBN 10: 0128025107 ISBN 13: 9780128025109
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 84,66
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: New. 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.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 70,11
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por ACADEMIC PRESS, LONDRES, 2019
ISBN 10: 0128025107 ISBN 13: 9780128025109
Librería: Antártica, Madrid, M, España
EUR 61,31
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Añadir al carritoBolsillo. Condición: New. Estado de la sobrecubierta: Nuevo. 01. LIBRO.
EUR 58,24
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Añadir al carritoCondición: Nuevo. Building a scalable data warehouse with data vault 2.0 editado por Elsevier uk.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 90,74
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Añadir al carritoCondición: New. pp. 640.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 87,26
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Añadir al carritoCondición: New. pp. 640.
EUR 61,01
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Añadir al carritoCondición: New. 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 wareh.
Idioma: Inglés
Publicado por Elsevier Science and Technology, US, 2015
ISBN 10: 0128025107 ISBN 13: 9780128025109
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 86,87
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: New. 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.
Idioma: Inglés
Publicado por Elsevier Science and Technology, US, 2015
ISBN 10: 0128025107 ISBN 13: 9780128025109
Librería: Rarewaves.com UK, London, Reino Unido
EUR 57,16
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: New. 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.
Librería: Librerias Prometeo y Proteo, Malaga, MA, España
EUR 61,31
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Añadir al carritoBolsillo. Condición: New. Estado de la sobrecubierta: Nuevo. 01. LIBRO.
Librería: medimops, Berlin, Alemania
EUR 39,99
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Añadir al carritoCondición: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
Idioma: Inglés
Publicado por Elsevier Science & Technology, San Francisco, 2015
ISBN 10: 0128025107 ISBN 13: 9780128025109
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 125,06
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 56,65
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Librería: California Books, Miami, FL, Estados Unidos de America
EUR 64,11
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 53,14
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Añadir al carritoCondición: New. In.
Idioma: Alemán
Publicado por Diplomica Verlag 2014-09-26, 2014
ISBN 10: 3958505813 ISBN 13: 9783958505810
Librería: Chiron Media, Wallingford, Reino Unido
EUR 52,20
Cantidad disponible: 10 disponibles
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