If you’re reading this because you’re a friend, or you have an interest in the Burgh, do not read this book. It’s quite technical and very dry.
Even if you’re a techie there are reasons to complain about this book; many of the authors clearly aren’t native speakers and the grammar is down right amusing in places, the sections on “Future Prospects” are fairly obvious (we could use big data to help predict medical outbreaks or analyze social media data!). The bit on the technologies in Big Data (Chapter 4-6) is worth its weight in gold though. Right now, far too many of the people talking about big data are the ones that are selling Big Data and the picture they paint is sometimes hard to follow. This book provides a useful taxonomy for breaking down the technologies in the current space (Generation, Acquisition, Storage, Analysis, and Application) as well as a helpful explanation of how many of them originated and which ones are combinations of other tools. This gives you the kind of knowledge that vendors seem hell bent on hiding, things like; a clear understanding of when/why I would choose BigTable vs MongoDB.
Overall, I highly recommend it for tech professionals/execs who won’t be coding in Big Data, but need to understand the landscape.