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Agile Data Warehousing: Delivering World-Class Business Intelligence Systems Using Scrum and XP (Anglais) Broché – 1 août 2008

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Biographie de l'auteur

Ralph Hughes, MA, chief systems architect for Ceregenics, Certified Scrum Master (CSM), and PMI project management professional (PMP), has built data warehouses since 1982. Fluent in French, he works internationally, leading Agile projects for Fortune 500 companies in aerospace, telecommunications, and pharmaceuticals. He lives in Denver, Colorado, and skis and fly fishes between projects.

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Couverture | Copyright | Table des matières | Extrait | Index | Quatrième de couverture
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11 internautes sur 12 ont trouvé ce commentaire utile 
Self-published and it shows 12 janvier 2011
Par Jason Yip - Publié sur Amazon.com
Format: Format Kindle Achat vérifié
I picked this up based on a recommendation from a work colleague and I don't understand why he recommended it. I found this difficult to read due to poor choice of vocabulary and lack of logical message structure. I found too many sections to be about introductory Agile concepts rather than specialised Data Warehouse / BI issues so I ended up spending a lot of time skimming.

Formatting for the Kindle was very poor and many figures are not understandable.

There are also a number of cutesy acronyms based on Ceregenic's specific approach that I just found distracting.

I have a very strong suspicion that the interesting parts of this book could be better communicated as tightly copy-edited articles or blog posts. Nothing really came out to me as particularly insightful but given that I drifted into skimming, I may possibly have missed something buried in the noise.
9 internautes sur 11 ont trouvé ce commentaire utile 
A "how to" book on agile data warehousing 15 septembre 2008
Par Amazon Customer - Publié sur Amazon.com
Format: Broché
This book brings together a lot of ideas about agile DW that have only been touched on in other books and journals. It is an excellent 'how to' book for anyone interested in introducing agility to the decidedly 'waterfall' world of mainstream BI practices and methods. The book goes beyond being an agile polemic by providing deep thinking and research supporting the practice of agile BI.
1 internautes sur 1 ont trouvé ce commentaire utile 
Disappointment 13 mars 2013
Par Amazon Customer - Publié sur Amazon.com
Format: Broché
I had high hopes that this book would clearly explain how to implement a BI solution using scrum. I expected it to contain some tangible examples both of Scrum and BI increments built using Scrum. There are many simple and tangible explanations of Scrum available on the web that do not take 300 pages. I did not find this book useful.

First, I found the organization of the book hard to follow. Second, I found the explanations to be simply a verbose run-of-the-mill explanation of Scrum. In fact, I found them confusing at times. Frankly, I get tired of reading Scrum stuff in which there is a continuous exaltation of Scrum and a repetitious denigration of anything that is not Scrum. Not everything in the world that isn't Scrum is BDUF (big design up front); nor do other ways always take forever. Third, there was little tangible description either BI or data warehousing in the book. However, my biggest objection is that there are almost no examples. The one data model example (of an ORDERS data model on page 129) has several problems: 1. it is a generic model. Would someone be actually implementing this data model in a BI environment using Scrum or anything else for that matter? Why would you even need Scrum to come up with this model? On close examination, is the model meaningful and correct? Is the relationship between Order, Party, Party Role and Party Role Type necessary? Is is even correct? If an order can have only one party, how many roles can they possibly be playing? Since an Order has only one Party, but a Party can have many Party Relationships, which Party Relationships are relevant to the Order? This example is near useless. Also, the book does not refer to integrated sandboxing, which would be essential for rapid turnaround of Scrum increments. After years of data warehousing I have found that there are a few simple but essential principles to achieving success at it, 1. break the work into increments; 2. make the increments short (1-3 months); 3. timebox the work; 4. deliver a prototype early (thus the need for sandboxing); and 5. gather a small, cross-functional team.

The author advocates presenting a tiered model. Well, some modelers occasionally do that but most professional modelers do not. A model should be presented in whatever way will be most useful and understandable to the audience. It is still not a typical informational model and I don't see what the data model, tiered or not, adds to the discussion of BI with Scrum.

If you are looking for a tangible way to do BI with Scrum, I would not recommend this book. If you are looking for a good description of Scrum, you can easily Google it and get a good understanding of it in no time.
3 internautes sur 5 ont trouvé ce commentaire utile 
Great Insight! Defintely worth a read 13 juillet 2009
Par Mr. Jonathon Ingram - Publié sur Amazon.com
Format: Broché
I bought this book intending to gain understanding of how you can adapt a relative expensive traditional data warehouse approach to the more money orientated CEO.

Whilst the book doesn't contain everything it sets a very powerful view of the future and to put simply explains succintly how to win the hearts and minds of any senior level stakeholders.

My only issue with the book is that it is full of typos. Words which simply don't make any sense and could have been picked out by a simple spell checker!

A set of useful templates would have been nice but for the price paid I think its a bargain!
1 internautes sur 2 ont trouvé ce commentaire utile 
A well-written, sure-footed guide to implementing Scrum for Data Warehousing projects! 16 novembre 2010
Par BI Meister - Publié sur Amazon.com
Format: Broché
I found this to be an outstanding, insightful guide for adopting Agile/Scrum methodology to Data Warehouse projects. Mr. Hughes' book takes the reader through the core tenets of Scrum and starting an Agile Data Warehousing team, to practical sure-footed steps and examples in the use of User Stories and story estimation, to DW-specific development task decomposition and estimation, and through the dynamics of the agile-iterative process. The book then delivers great insights around scaling DW-Scrum teams, testing approaches, process improvement and CMMI compliance. It is very well-written, absolutely well worth the read and is a great TEAM reference book for launching Agile/Scrum Data Warehouse development programs/teams (as well as an excellent guide for improving existing Agile DW teams)... Nice job!
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