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Daniel Linstedt (55 results)
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Condition: Very Good. 1749436112. 6/9/2025 2:28:32 AM.
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Condition: very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.
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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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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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Data Architecture: A Primer for the Data Scientist: Big Data, Data Warehouse and Data Vault
Seller: Wm Burgett Bks and Collectibles, San diego, CA, U.S.A.
Seller rating 4 out of 5 stars
First Edition
Paperback. Condition: Near Fine. First Edition. CLEAN near fine 2015 paperback.
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Paperback. Condition: new. New Copy. Customer Service Guaranteed.
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Data Architecture: A Primer for the Data Scientist: Big Data, Data Warehouse and Data Vault
Language: English
Published by Morgan Kaufmann 2014-11-26, 2014
ISBN 10: 012802044X ISBN 13: 9780128020449
£ 38.40
£ 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.
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Data Architecture: A Primer for the Data Scientist
Language: English
Published by Elsevier Science Publishing Co Inc, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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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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Condition: New.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Building a Scalable Data Warehouse with Data Vault 2.0
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: As New. Unread book in perfect condition.
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Condition: New. pp. 450.
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Condition: New. pp. 640.
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Condition: New.
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Data Architecture : A Primer for the Data Scientist
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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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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Data Architecture: A Primer for the Data Scientist
Language: English
Published by Elsevier Science Publishing Co Inc, US, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. Over the past 5 years, the concept of big data has matured, data science has grown exponentially, and data architecture has become a standard part of organizational decision-making. Throughout all this change, the basic principles that shape the architecture of data have remained the same. There remains a need for people to take a look at the "bigger picture" and to understand where their data fit into the grand scheme of things. Data Architecture: A Primer for the Data Scientist, Second Edition addresses the larger architectural picture of how big data fits within the existing information infrastructure or data warehousing systems. This is an essential topic not only for data scientists, analysts, and managers but also for researchers and engineers who increasingly need to deal with large and complex sets of data. Until data are gathered and can be placed into an existing framework or architecture, they cannot be used to their full potential. Drawing upon years of practical experience and using numerous examples and case studies from across various industries, the authors seek to explain this larger picture into which big data fits, giving data scientists the necessary context for how pieces of the puzzle should fit together.
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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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Data Architecture: A Primer for the Data Scientist: A Primer for the Data Scientist
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 57.52
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Data Architecture: A Primer for the Data Scientist
Language: English
Published by Elsevier Science Publishing Co Inc, US, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Paperback. Condition: New. Over the past 5 years, the concept of big data has matured, data science has grown exponentially, and data architecture has become a standard part of organizational decision-making. Throughout all this change, the basic principles that shape the architecture of data have remained the same. There remains a need for people to take a look at the "bigger picture" and to understand where their data fit into the grand scheme of things. Data Architecture: A Primer for the Data Scientist, Second Edition addresses the larger architectural picture of how big data fits within the existing information infrastructure or data warehousing systems. This is an essential topic not only for data scientists, analysts, and managers but also for researchers and engineers who increasingly need to deal with large and complex sets of data. Until data are gathered and can be placed into an existing framework or architecture, they cannot be used to their full potential. Drawing upon years of practical experience and using numerous examples and case studies from across various industries, the authors seek to explain this larger picture into which big data fits, giving data scientists the necessary context for how pieces of the puzzle should fit together.
-
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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Condition: Nuevo. Building a scalable data warehouse with data vault 2.0 editado por Elsevier uk.
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Data Architecture : A Primer for the Data Scientist
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: New. pp. 450.
