Using SANs and NAS
by W. Curtis Preston
Enterprise Master Data Management: An SOA Approach to Managing Core Information
by Allen Dreibelbis; Ivan Milman; Paul van Run; Eberhard Hechler; Martin Oberhofer; Dan Wolfson
Mastering: System Center Data Protection Manager 2007
by Devin L. Ganger; Ryan Femling
Pro BizTalk 2006
by George Dunphy; Ahmed Metwally
A practical guide that provides a scalable, modular methodology for designing data centers of any size and capability
Includes design techniques for accurate planning based on data center capacities
Covers all aspects of data center design from site selection to network connectivity
Average Amazon.com® Rating: ![]()
![]()
![]()
![]()
Based on 7 Ratings
Great info, bad pictures - 2006-03-16
Reviewer Rating: ![]()
![]()
![]()
![]()
![]()
This book seems to be really informative so far. We're in the midst of designing a 700 square foot data center and there are a lot of great tips and tricks we never would have thought of in there.
My only complaint so far is the quality of the pictures. They're all black and white, which is fine, but they look like they've been photocopied about 20 times before they made it to the book. Very poor quality there for the price.
Not enough bang for your buck - 2007-02-12
Reviewer Rating: ![]()
![]()
![]()
![]()
![]()
I thought this book was way overpriced for what I received. It looks like someone made it by themselves on a Xerox machine, certainly not worth the $60+ dollars I paid for it. The pictures actually look like photo copies.
You should be aware that this book is written for someone who is going to build out a data center facility from the ground up. I didn't think it was intended for the average data center person who rents floor space from a collocation provider and doesn't have a lot of control over the actual facilites themselves.
Not very many companies in this business can afford to build their own data centers and most, even the big companies, still rent space from a provider. Just keep that in mind when considering this book.
There is some good information in this book but in my opinion it isn't worth the money it cost to purchase it. Purchse at your own risk.
Useful, but limited depth - 2009-11-02
Reviewer Rating: ![]()
![]()
![]()
![]()
![]()
This volume provides a good review of the factors that must be considerd when planning construction or major upgrades for corporate data centers. Checklists and project plan outlines can be readily developed with reference to this material. One potentially useful construct, the "Rack Location Unit", is nominated as a focus for planning that would avoid some fallacies that might be created if structuring plans simplistically by server tally, square-foot measurements, or the like.
On balance, though, the volume comes up short on usable guidance beyond the superficial. It would have been far more valuable if it had included specimens of RLU-based planning - especially a framework for going about populating the RLU model in actual practice, and demonstrating how it might be applied to track power, heat, etc, particularly in ongoing management of the post-construction data center.
Although repetitious at times, the text was readable and reasonably organized. For a survey of issues to be considered, this is quite good; for depth of treatment or unexpected insights, it disappoints.
valuable resource - 2008-07-29
Reviewer Rating: ![]()
![]()
![]()
![]()
![]()
I found this book to be a valuable resource when designing our new datacenter during an office move in 2007. I found the contents useful and easy to read.
My only complaint was the overall appearance of the book and diagrams. Given the relatively high cost of this book, I would have preferred to have seen a little more production effort.
Worth Every Penny! - 2007-12-20
Reviewer Rating: ![]()
![]()
![]()
![]()
![]()
It would be hard to find a more valuable book than this one if you have to design (or participate in the design of) a data center. Rob Snevely covers every possible topic, in an organized, interesting, readable manner. He has clearly done his homework.
Top Level Categories:
Enterprise Computing
Sub-Categories:
Enterprise Computing > Information Storage and Retrieval
Some information on this page was provided using data from Amazon.com®. View at Amazon >