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Davide Mauri

A place for my thoughts and experiences the Microsoft Data Platform

Data Quality and Master Data Management with Microsoft SQL Server 2008 R2 free eBook

Greg Low already posted about it and so I’m a bit late here, but nonetheless I’d like to share with you all the information that we’ve just released the free eBook dedicated to Data Quality and Master Data Management with Microsoft SQL Server 2008 R2.

Since I’ve heard for the very first time the Master Data Management idea I felt in love with it. And if you’re doing BI, you know what I mean. The hardest part of a BI project is to cleans, normalize & check the data. If we could have data correct right from the beginning, that would be a dream! That’s why I really believe in MDM and its implementation.

Microsoft started to follow that road too, so it has been natural for us to start to play with Master Data Services right from the beginning. Writing a book on it was again another natural thing that happened.

We really enjoyed writing this book and we’re already seeing some customers interested in applying the described techniques, that can work despite the fact you’re using MDS or not. The book, in fact, also focuses on Data Quality, which is a much more broader topic than MDM and MDS. The books also cover usage of T-SQL, SSIS and various well-known algorithms useful to cleanse and normalize data.

Here’se the link to the page where you can find more information and download the eBook:

http://www.solidq.com/ce-en/News/Pages/Data-Quality-and-Master-Data-Management-with-Microsoft-SQL-Server-2008-R2.aspx

Enjoy!

PS

Just noticed that we already have a review. Here’s the link:

http://blog.ashdar-partners.com/2011/06/quick-review-of-solidqs-latest-e-book.html

Published Friday, June 3, 2011 12:06 AM by Davide Mauri

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Michael said:

Awesome! Thanks for sharing the ebook. Keep up the good work, this webpage looks great

June 6, 2011 5:13 AM

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About Davide Mauri

Director of Software Development & Cloud Infrastructure @ Sensoria, an innovative smart garments and wearable company. After more than 15 year playing with the Microsoft Data Platform, with a specific focus on High Performance databases, Business Intelligence, Data Science and Data Architectures, he's now applying all his skills to IoT, defining architectures to crunch numbers, create nice user experiences and provide meaningful insights, all leveraging Microsoft Azure cloud. MVP on Data Platform since 2006 he has a very strong background development and love both the ER model and OO principles. He is also a fan of Agile Methodology and Automation, which he tries to apply everywhere he can, to make sure that "people think, machines do".

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