Good coverage of agile topics and practices including user stories, team work, project automation and how to introduce agile aspects to BI projects. There are some practical pieces of advice to improve the way agile software configuration management and agile release management work. No consulting clutter, no obscure concepts. I clearly identified some of the scenarios and improvement opportunities mentioned in this book from my experience in business intelligence projects. Some of the practices may be difficult to implement if you are using COTS or off the shelf BI tools, or at least it won't be as easy as described by the author. Case in point: version control and continuous delivery, given the nature of the BI "code".
Overall great description of agile projects. A bit detached from corporate environments in terms of sandpit environments and CD practices in the BI world though, which is understandable.
This book's title is a misnomer. The subtitle is more fitting. It does a good job in applying the well established tenets of agile software development to the data warehousing space. But as so often today, "Business Intelligence" here too is interpreted more as the infrastructure, and less as the actual insight derived from data. As such, this book totally neglects its main topic, "Analytics". Little can be found in terms of how to derive business insight in an agile fashion. Still, three stars for the solid coverage on agile data warehousing, even if not as novel of an idea anymore. The ideas documented here in that space have been practiced by DWH teams for years.
overall, not bad, if you were reading it seven years ago. unfortunately the technologies described here are out of date. the same book in a Hadoop / Big Data setting, would be super valuable.
"Great practical book that would help the traditional BI practitioners make the leap towards successful DWH implementations that will actually be used - good pointers to seminal resources around Ambler, Sadalage, Fowler, Kerievsky, Jankovsky, David Hay etc. Fir those who want take the Kimball and Inmon patterns to the next level - wish Ken had gone deeper into product prioritization/slicing and Continuous delivery - the rest looks well covered for kick-starting the next Agile Analytics product."
A good book for an introduction to "Agile" methods in a data warehouse environment. However, I didn't found it easy to read, despite the real-world example that evolve in each chapter. There is a lot of references (maybe too many) and repetitive explanations. An honest book for the price I paid (around 35$ CAD) anyway.
This is a very good book for anyone who wants to do data warehousing in an agile way. It includes a good overview of agile and the agile philosophy, as well as practical tips on tactical steps.
But a very good book for work counts as a good book overall, in my mind, hence the 3 stars.
I know. I typically only post about my favorite books in areas of general interest (or a couple of hated books that roused my ire), but this well-written book was that good, despite its abstruse subject.
Proof you can do anything in incremental ways. Good insights on DW in general. A bit more on how testing was done would be nice. I never 'got' how mechanically it was tested.