No products in the cart.
Use coupon code “MARCH20” for a 20% discount on all items! Valid until 31-03-2025
Royal Mail express delivery to UK destinations
Regular sales and promotions
Stock updates every 20 minutes!
We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.
The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ...
Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.
Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.
Use coupon code “MARCH20” for a 20% discount on all items! Valid until 31-03-2025
Royal Mail express delivery to UK destinations
Regular sales and promotions
Stock updates every 20 minutes!
2 in stock
£54.99
Buy new:
Delivery: UK delivery Only. Usually dispatched in 1-2 working days.
Shipping costs: All shipping costs calculated in the cart or during the checkout process.
Standard service (normally 2-3 working days): 48hr Tracked service.
Premium service (next working day): 24hr Tracked service – signature service included.
Royal mail: 24 & 48hr Tracked: Trackable items weighing up to 20kg are tracked to door and are inclusive of text and email with ‘Leave in Safe Place’ options, but are non-signature services. Examples of service expected: Standard 48hr service – if ordered before 3pm on Thursday then expected delivery would be on Saturday. If Premium 24hr service used, then expected delivery would be Friday.
Signature Service: This service is only available for tracked items.
Leave in Safe Place: This option is available at no additional charge for tracked services.
| Product ID: | 9780128025109 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | US |
| Title: | Building a Scalable Data Warehouse with Data Vault 2.0 |
| Authors: | Author: Daniel Linstedt, Michael Olschimke |
| Page Count: | 688 |
| Subjects: | Database design and theory, Database design & theory, Data warehousing, Information architecture, Data warehousing, Information architecture |
| Description: | Select Guide Rating 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. |
| Imprint Name: | Morgan Kaufmann Publishers In |
| Publisher Name: | Elsevier Science & Technology |
| Country of Publication: | GB |
| Publishing Date: | 2015-10-05 |
GoBookshop!
Proudly owned and operated by:
Raythex LTD
17-19 Saint Georges Street
NORWICH
NR3 1AB
Registered No. 15042401
We accept the following payment methods:
