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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 Publishers, 2014
ISBN 10: 012802044X ISBN 13: 9780128020449
Paperback. Condition: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.
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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 Publishers, 2014
ISBN 10: 012802044X ISBN 13: 9780128020449
Paperback. Condition: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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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 Publishers, 2014
ISBN 10: 012802044X ISBN 13: 9780128020449
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. 1749436112. 6/9/2025 2:28:32 AM.
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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: Very Good. Fast shipping and order satisfaction guaranteed. A portion of your purchase benefits Non-Profit Organizations, First Aid and Fire Stations!
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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: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ 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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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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Softcover. Condition: Fine. Leichte Risse; Gebogener Buchrücken. The Data Vault, created by Dan Linstedt at the U.S. Department of Defense, has been effectively implemented in data warehousing projects across various organizations. Its nature-inspired, simplified design helps mitigate common data warehousing failures. This resource provides comprehensive guidance on building a scalable data warehouse from start to finish, focusing on the Data Vault modeling technique that underpins a technical data warehouse layer. It emphasizes an incremental approach using the agile Data Vault 2.0 methodology. Readers will learn to construct both the input layer (stage layer) and the presentation layer (data mart) within the Data Vault 2.0 architecture, along with best practices for implementation. Drawing from extensive practical experience, the authors present numerous examples within an accessible framework. Key topics include loading each layer using SQL Server Integration Services (SSIS) and automating Data Vault loading processes. The book also covers essential data warehouse technologies, Data Quality Services (DQS), and Master Data Services (MDS) in relation to the Data Vault architecture. It offers a thorough introduction to data warehousing, blending theoretical concepts with hands-on instruction, while demystifying data vault modeling through various techniques. Additionally, it highlights the advantages of the data vault approach over other methods, including updates and enhancements to Data V.
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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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Data Architecture: A Primer for the Data Scientist
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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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 4 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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Softcover. Condition: Fine. Autorensignatur; Gebogener Buchrücken. The Data Vault, created by Dan Linstedt at the U.S. Department of Defense, has been effectively implemented in data warehousing projects across various organizations. Its nature-inspired, simplified design helps mitigate common data warehousing failures. This resource provides comprehensive guidance on building a scalable data warehouse from start to finish, focusing on the Data Vault modeling technique that underpins a technical data warehouse layer. It emphasizes an incremental approach using the agile Data Vault 2.0 methodology. Readers will learn to construct both the input layer (stage layer) and the presentation layer (data mart) within the Data Vault 2.0 architecture, along with best practices for implementation. Drawing from extensive practical experience, the authors present numerous examples within an accessible framework. Key topics include loading each layer using SQL Server Integration Services (SSIS) and automating Data Vault loading processes. The book also covers essential data warehouse technologies, Data Quality Services (DQS), and Master Data Services (MDS) in relation to the Data Vault architecture. It offers a thorough introduction to data warehousing, blending theoretical concepts with hands-on instruction, while demystifying data vault modeling through various techniques. Additionally, it highlights the advantages of the data vault approach over other methods, including updates and enhancements to Data V.
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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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Condition: new.
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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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Data Architecture: A Primer for the Data Scientist
Language: English
Published by Academic Press 2019-05-15, 2019
ISBN 10: 0128169168 ISBN 13: 9780128169162
Paperback. Condition: New.
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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
£ 56.18
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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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
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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Condition: Nuevo. Encuadernación: Tapa blanda o bolsillo | Páginas: 661 | Dimensiones: 200 x 300 - Tecnología.
