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The Microsoft Data Warehouse Toolkit: With SQL Server 2008 R2 and the Microsoft Business Intelligence Toolset
 
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The Microsoft Data Warehouse Toolkit: With SQL Server 2008 R2 and the Microsoft Business Intelligence Toolset [Versión Kindle]

Joy Mundy , Warren Thornthwaite , Ralph Kimball

Precio lista ed. digital: EUR 41,20 ¿Qué es esto?
Precio lista ed. impresa: EUR 42,21
Precio Kindle: EUR 28,84 IVA incluido (si corresponde) y envío a través de Amazon Whispernet
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Descripción del producto

Descripción del producto

Best practices and invaluable advice from world-renowned data warehouse experts

In this book, leading data warehouse experts from the Kimball Group share best practices for using the upcoming “Business Intelligence release” of SQL Server, referred to as SQL Server 2008 R2. In this new edition, the authors explain how SQL Server 2008 R2 provides a collection of powerful new tools that extend the power of its BI toolset to Excel and SharePoint users and they show how to use SQL Server to build a successful data warehouse that supports the business intelligence requirements that are common to most organizations. Covering the complete suite of data warehousing and BI tools that are part of SQL Server 2008 R2, as well as Microsoft Office, the authors walk you through a full project lifecycle, including design, development, deployment and maintenance.

  • Features more than 50 percent new and revised material that covers the rich new feature set of the SQL Server 2008 R2 release, as well as the Office 2010 release
  • Includes brand new content that focuses on PowerPivot for Excel and SharePoint, Master Data Services, and discusses updated capabilities of SQL Server Analysis, Integration, and Reporting Services
  • Shares detailed case examples that clearly illustrate how to best apply the techniques described in the book
  • The accompanying Web site contains all code samples as well as the sample database used throughout the case studies

The Microsoft Data Warehouse Toolkit, Second Edition provides you with the knowledge of how and when to use BI tools such as Analysis Services and Integration Services to accomplish your most essential data warehousing tasks.


Detalles del producto

  • Formato: Versión Kindle
  • Tamaño del archivo: 8790 KB
  • Longitud de impresión: 696
  • Editor: Wiley; Edición: 2 (25 de febrero de 2011)
  • Vendido por: Amazon Media EU S.à r.l.
  • Idioma: Inglés
  • ASIN: B004S82RKG
  • Texto a voz: Activado
  • X-Ray: No activado
  • Clasificación en los más vendidos de Amazon: n°151.390 Pagados in Tienda Kindle (Ver el Top 100 de pago en Tienda Kindle)

Opiniones de clientes

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Amazon.com: 4.6 de un máximo de 5 estrellas  5 opiniones
10 de 11 personas piensan que la opinión es útil
5.0 de un máximo de 5 estrellas Successful application of data warehousing expertise to a real-world platform 15 de marzo de 2011
Por Edward Scheidelman - Publicado en Amazon.com
Formato:Tapa blanda
I've enthusiastically referenced Kimball publications for business intelligence projects over the years; everything from how to manage history in slowly changing dimensions to fact-less fact tables to creating an initial data warehouse project plan, always with outstanding results. Mundy, Thornthwaite, and Kimball achieve two key milestones with The Microsoft Data Warehouse Toolkit. First, they successfully apply many years of data warehousing scholarship and expertise to a real-world platform. This is accomplished from a practical perspective with respect to MS SQL Server, as the authors are realistic of both the strengths and weaknesses of the platform and tailor their approach accordingly. Second, this publication recognizes modern incarnations of the MS SQL Server as a viable platform for data warehousing. Microsoft has addressed the stability issues associated with earlier releases of the SQL Server. If you're considering an MS SQL warehouse deployment, I would strongly encourage you and your staff to read this book.
2 de 2 personas piensan que la opinión es útil
5.0 de un máximo de 5 estrellas a must have for implementing data warehouse using SQL 2008 R2 15 de septiembre de 2011
Por B. franklin - Publicado en Amazon.com
Formato:Tapa blanda
I don't do much review on books until this.

First off, SQL 2008 R2 introduces many new cool features that drastically change the performance and manageability of an Enterprise Data Warehouse. This book has all the tips to jump start to build one. It even has all the tips I need to integrate with Sharepoint. If I knew that, it would saved me days on googling Sharepoint and collecting only piece meals from different authors.

The books comes with many ready to go scripts that are easy to use and error free. Reader going thru the book one chapter at a time from the beginning will find their knowledge grow rapidly. The example helps me explain to my client what the Data Warehouse will be liked with Kimball's Slowly Changing Dimension and what can get out from Master Data Dictionary.

This book, liked, other Kimball books are easy to read and understand. It covers many implementation specific guides that I think it is a BI bible, or BIble :), to consultants in BI. With there are only a few reviews on it, I think this book is a hidden gem or a hidden secret. :)

I would highly recommend any one get a copy of the Developer Edition of the SQL2008 R2 to get all the benefits from the book. The Developer Edition is only around $70, at the time of writing.

Have fun!
5.0 de un máximo de 5 estrellas Essential reading before, during and after 2 de febrero de 2013
Por Mario Di Giovanni - Publicado en Amazon.com
Formato:Versión Kindle|Compra verificada por Amazon
If you are using the MS BI stack to build your DW/BI environment, then this book is required reading for your team.
Ir a Amazon.com para ver las 5 opiniones existentes 4.6 de un máximo de 5 estrellas

Subrayados populares

 (¿Qué es esto?)
&quote;
The level of detail contained in the fact table is called the grain. We strongly urge you to build your fact tables with the lowest level of detail that is possible from the original source  generally this is known as the atomic level. &quote;
Subrayado por 25 usuarios de Kindle
&quote;
From a relational data modeling perspective, the dimensional model consists of a normalized fact table with denormalized dimension tables. &quote;
Subrayado por 21 usuarios de Kindle
&quote;
A record in a fact table is a measurement event. These events usually have numeric values that quantify the magnitude of the event, such as quantity ordered, sale amount, or call duration. These numbers are called facts (or measures in Analysis Services). &quote;
Subrayado por 20 usuarios de Kindle

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