Download e-book for kindle: Big Data Analytics: A Practical Guide for Managers by Kim H. Pries

February 2, 2018 | Data Mining | By admin | 0 Comments

By Kim H. Pries

ISBN-10: 1482234513

ISBN-13: 9781482234510

With this ebook, managers and determination makers are given the instruments to make extra knowledgeable judgements approximately great facts deciding to buy tasks. Big facts Analytics: a pragmatic consultant for Managers not just offers descriptions of universal instruments, but additionally surveys many of the items and proprietors that offer the large facts market.

Comparing and contrasting the different sorts of study quite often performed with massive information, this obtainable reference offers simple reasons of the final workings of massive facts instruments. rather than spending time on the best way to set up particular applications, it makes a speciality of the explanations WHY readers could set up a given package.

The publication offers authoritative counsel on a number of instruments, together with open resource and proprietary platforms. It information the strengths and weaknesses of incorporating tremendous facts research into decision-making and explains the right way to leverage the strengths whereas mitigating the weaknesses.

  • Describes some great benefits of allotted computing in easy terms
  • Includes monstrous vendor/tool fabric, specifically for open resource decisions
  • Covers popular software program programs, together with Hadoop and Oracle Endeca
  • Examines GIS and laptop studying applications
  • Considers privateness and surveillance matters

The e-book extra explores simple statistical options that, while misapplied, might be the resource of mistakes. many times, titanic info is taken care of as an oracle that discovers effects no one may have imagined. whereas huge info can serve this priceless functionality, all too usually those effects are mistaken, but are nonetheless said unquestioningly. The likelihood of getting misguided effects raises as a bigger variety of variables are in comparison until preventative measures are taken.

The method taken by means of the authors is to provide an explanation for those thoughts so managers can ask greater questions in their analysts and proprietors as to the appropriateness of the equipment used to reach at a end. as the global of technology and drugs has been grappling with comparable concerns within the book of reports, the authors draw on their efforts and practice them to special data.

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Extra resources for Big Data Analytics: A Practical Guide for Managers

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On the other side of the argument, perhaps the most astute critic of big data is Nassim Nicholas Taleb. In an opinion piece he wrote for the website of Wired magazine (drawn from his book, Antifragile), he states, “Modernity provides too many variables, but too little data per variable. ” 7 Mr. Taleb may be pessimistic, but he raises valuable points. As a former trader with a formidable quantitative background, Taleb has made a name for himself with his astute critiques of faulty decision making.

It may also just be a statistical artifact of the kind we will be discussing in this book. Even if it is a real and statistically significant finding that stands up to experimental replication, it may be so minor as to be quasi-meaningless. Without knowing about the data sampled, the statistics used, and the strength of the relationship between the variables, the conclusion must be taken with a grain of salt. We will discuss in a later chapter how a statistically significant finding need not be practically significant.

If your analysis leads you to conclude that big data is not a productive effort for your company, then you should heed that advice. Many firms do not need big data, and to attempt to implement this approach just to keep up with the pack would be wasteful. If your firm does see a realistic need for big data and has the resources and commitment to see it through, then the lack of an existing competence is not a valid reason to avoid developing one. TECHNOLOGICAL CHANGE AS A DRIVER OF BIG DATA We also discuss technology, including its evolution.

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Big Data Analytics: A Practical Guide for Managers by Kim H. Pries


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