on 24 July 2009
MDM is not really a fascinating subject for a book. But this manages to make it so boring that honestly, it was like swimming through treacle reading it. By the end of the first 20 pages I was wondering if 20 pages is all MDM deserves is there enough for a book?). For me the jury is still out, although this book will remain as a "reference" for me, so it continues to justify the purchase. Just dont expect it to be an interesting read .....
on 7 July 2011
I was very disappointed with this book - of course data quality is important for any business - unfortunately this book will not help you achieve it.
If you work for a big consulting firm and want some slide deck material to bore people to death with or your doing an mba course in talking about business rather than executing business - then maybe of value to you.
If you work in the real world then you will find little of value - it just regurgitates cliches and stating the obvious all the time - I am well aware that in a room full of people there is a good chance that 2 persons will have the same birthday - I know workers spell company names differently - so what duh!
The problem with this book it is not practical - like Joe Celko or Itzik Ben-Gan or Stephan Faroult - brilliant authors who who fill their books full of elegant solutions, to real world data management problems.
This book is NOT theoretical either - like for example the superb books from Chris Date - they are hard going, but well worth investing time in reading many times.
This book is in-between in wishy washy no-mans land - therefore of zero or little value to someone in business.
The only way to achieve master data quality is using the power of a relational database - simple!
So I've concluded that to learn about achieving data quality - one is better off reading good books on database design - rather than this faddish type of book.