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Building a Scalable Data Warehouse with Data Vault 2.0
Language: English
Published by Morgan Kaufmann (edition 1), 2015
ISBN 10: 0128025107 ISBN 13: 9780128025109
Paperback. Condition: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Building a Scalable Data Warehouse with Data Vault 2.0
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Building a Scalable Data Warehouse with Data Vault 2.0
Language: English
Published by Morgan Kaufmann Publishers, 2015
ISBN 10: 0128025107 ISBN 13: 9780128025109
Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Condition: 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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Condition: 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.
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Condition: New.
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Building a Scalable Data Warehouse with Data Vault 2.0
Language: English
Published by Elsevier Science and Technology, US, 2015
ISBN 10: 0128025107 ISBN 13: 9780128025109
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: 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.
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Paperback. Condition: new. New Copy. Customer Service Guaranteed.
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Condition: 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.
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Condition: As New. Unread book in perfect condition.
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Building a Scalable Data Warehouse with Data Vault 2.0
Language: English
Published by Morgan Kaufmann 2015-10-02, 2015
ISBN 10: 0128025107 ISBN 13: 9780128025109
£ 47.75
£ 15.49 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback. Condition: New.
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Condition: New. pp. 640.
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Building a Scalable Data Warehouse With Data Vault 2.0
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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BUILDING A SCALABLE DATA WAREHOUSE WITH DATA VAULT 2.0
Language: English
Published by ACADEMIC PRESS, LONDRES, 2019
ISBN 10: 0128025107 ISBN 13: 9780128025109
Bolsillo. Condition: New. Dust Jacket Condition: Nuevo. 01. LIBRO.
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Building a Scalable Data Warehouse with Data Vault 2.0 (Paperback)
Language: English
Published by Elsevier Science & Technology, San Francisco, 2015
ISBN 10: 0128025107 ISBN 13: 9780128025109
Paperback. Condition: new. Paperback. Building a Scalable Data Warehouse with Data Vault 2.0 Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Building a Scalable Data Warehouse with Data Vault 2.0
Language: English
Published by Morgan Kaufmann Publishers In 2015-10-01, 2015
ISBN 10: 0128025107 ISBN 13: 9780128025109
Paperback. Condition: New.
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Building a Scalable Data Warehouse with Data Vault 2.0
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Paperback. Condition: Brand New. 1st edition. 684 pages. 9.25x7.50x1.75 inches. In Stock.
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Building a Scalable Data Warehouse with Data Vault 2.0
Language: English
Published by Elsevier Science and Technology, US, 2015
ISBN 10: 0128025107 ISBN 13: 9780128025109
Paperback. Condition: 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.
-
Building a Scalable Data Warehouse With Data Vault 2.0
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Condition: Nuevo. Building a scalable data warehouse with data vault 2.0 editado por Elsevier uk.
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Condition: New. pp. 640.
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Condition: New. pp. 640.
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Condition: 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.
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Building a Scalable Data Warehouse with Data Vault 2.0
Language: English
Published by Elsevier Science and Technology, US, 2015
ISBN 10: 0128025107 ISBN 13: 9780128025109
Paperback. Condition: 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.
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BUILDING A SCALABLE DATA WAREHOUSE WITH DATA VAULT 2.0
Seller: Librerias Prometeo y Proteo, Malaga, MA, Spain
Seller rating 2 out of 5 stars
Bolsillo. Condition: New. Dust Jacket Condition: Nuevo. 01. LIBRO.
-
Building a Scalable Data Warehouse with Data Vault 2.0
Language: English
Published by Elsevier Science and Technology, US, 2015
ISBN 10: 0128025107 ISBN 13: 9780128025109
Paperback. Condition: 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.
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Building a Scalable Data Warehouse with Data Vault 2.0 (Paperback)
Language: English
Published by Elsevier Science & Technology, San Francisco, 2015
ISBN 10: 0128025107 ISBN 13: 9780128025109
Paperback. Condition: new. Paperback. Building a Scalable Data Warehouse with Data Vault 2.0 Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
