Bloated

Or how to say in 218 pages what holds 20 or 30 pages in the format "What do I know?". Rarely been so insipid reading: repetitions in circumlocutions, of wobbly translations pontificating assertions, it's both easy and difficult to reach the end of this work which is summarized in these few "ideas": Big Data is an outgrowth of classical analytical, it is more to manage a variety of data and its continuous flow rather than quantity, the ideal of scientific data is so elusive that it is better to hire more profiles Similar with a different specialty and put all these people in a room where the ideas will flow inevitably, "the Delta model that I invented is great to drive the doors open", LinkedIn has grown thanks to its algorithm PYMK (repeated 4 times in the book), "have you really thought about the potential impact of Big Data in your business, but not really, but I repeat we must think about it, and in the next chapter I give you the keys, I would also like at the end of the book and spent 200 pages you make promises "... America in all its splendor. Not one of Twain, Faulkner and Miller, no. That of Bush, story telling, and empty books meaning the Management or Marketing. All that one can learn there technically is that Big Data architecture is based on a technology created by Google and named Hadoop and scripting language, Hive, developed by Facebook. IT rigorous and curious amateurs popular science, go your way, this is a sham. As does not indicate its prohibitive price. Some links endnotes happily let out of the posture and go further into the subject ...