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Principles of Big Data: Preparing, Sharing, and Analyzing Complex Information Kindle Edition

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Länge: 288 Seiten Word Wise: Aktiviert Verbesserter Schriftsatz: Aktiviert
Sprache: Englisch



"By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book.", March 21, 2014 "The book is written in a colloquial style and is full of anecdotes, quotations from famous people, and personal opinions.", February 3, 2014 "The author has produced a sober, serious treatment of this emerging phenomenon, avoiding hype and gee-whiz cases in favor of concepts and mature advice. For example, the author offers ten distinctions between big data and small data, including such factors as goals, location, data structure, preparation, and longevity. This characterization provides much greater insight into the phenomenon than the standard 3V treatment (volume, velocity, and variety).", October 3, 2013


Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators.

• Learn general methods for specifying Big Data in a way that is understandable to humans and to computers.

• Avoid the pitfalls in Big Data design and analysis.

• Understand how to create and use Big Data safely and responsibly with a set of laws, regulations and ethical standards that apply to the acquisition, distribution and integration of Big Data resources.


  • Format: Kindle Edition
  • Dateigröße: 1547 KB
  • Seitenzahl der Print-Ausgabe: 288 Seiten
  • Verlag: Morgan Kaufmann; Auflage: 1 (20. Mai 2013)
  • Verkauf durch: Amazon Media EU S.à r.l.
  • Sprache: Englisch
  • ASIN: B00D2U26YI
  • Text-to-Speech (Vorlesemodus): Aktiviert
  • X-Ray:
  • Word Wise: Aktiviert
  • Verbesserter Schriftsatz: Aktiviert
  • Durchschnittliche Kundenbewertung: Schreiben Sie die erste Bewertung
  • Amazon Bestseller-Rang: #527.496 Bezahlt in Kindle-Shop (Siehe Top 100 Bezahlt in Kindle-Shop)

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Die hilfreichsten Kundenrezensionen auf (beta) HASH(0x9d364db0) von 5 Sternen 6 Rezensionen
2 von 2 Kunden fanden die folgende Rezension hilfreich
HASH(0x9d36ae70) von 5 Sternen Fundamental, full of wisdom and advice yet thorough 4. November 2013
Von A. Zubarev - Veröffentlicht auf
Format: Kindle Edition
A fantastic book! Must be part, if not yet, of the fundamentals of the Big Data as a field of science.

Highly recommend to those who are into the Big Data practice.

Yet, I confess this book is one of my best reads this year and for a number of reasons:

The book is full of wisdom, intimate insight, historical facts and real life examples to how Big Data projects get conceived, operate and sadly, yes, sometimes die.

But not only that, the book is most importantly is filled with valuable advice, accurate and even overwhelming amount of reference (from the positive side), and the author does not event stop there:

there are numerous technical excerpts, links and examples allowing to quickly accomplish many daunting tasks or make you aware of what one needs to perform as a data practitioner (excuse my use of the word practitioner, I just did not find a better substitute to it to trying to reference all who face Big Data).

Be aware that Jules Berman's background is in medicine, naturally, this book discusses this subject a lot as it is very dear to the author's heart I believe, this does not make this book any less significant however, quite the opposite, I trust if there is an area in science or practice where the biggest benefits can be ripped from Big Data projects it is indeed the medical science, let's make Cancer history!

On a personal note, for me as a database, BI professional it has helped to understand better the motives behind Big Data initiatives, their underwater rivers and high altitude winds that divert or propel them forward.

Additionally, I was impressed by the depth and number of mining algorithms covered in it. I must tell this made me very curious and tempting to find out more about these indispensable attributes of Big Data so sure I will be trying stretching my wallet to acquire several books that go more in depth on several most popular of them.

My favorite parts of the book, well, all of them actually, but especially chapter 9: Analysis, it is just very close to my heart. But the real reason is it let me see what I do with data from a different angle. And then the next - "Special Considerations", they are just two logical parts.

The writing language is of this book is very acceptable for all levels, I had no technical problem reading it in ebook format on my 8" tablet or a large screen monitor.

If I would be asked to say at least something negative I have to state I had a feeling initially that the book's first part reads like an academic material relaxing the reader as the book progresses forward.

I admit I am impressed with Jules' abilities to use several programming languages and OSS tools, bravo! And I agree, it is not too, too hard to grasp at least the principals of a modern programming language, which seems becomes a defacto knowledge standard item for any modern human being.

So grab a copy of this book, read it end to end and make yourself shielded from making mistakes at any stage of your Big Data initiative, by the way this book also helps build better future Big Data projects.
4 von 5 Kunden fanden die folgende Rezension hilfreich
HASH(0x9d36afc0) von 5 Sternen Berman on Big Data 29. September 2013
Von cheadleg - Veröffentlicht auf
Format: Taschenbuch
Principles of Big Data: Preparing, Sharing, and Analyzing Complex InformationReview
Jules J Berman, Ph.D., M.D.
Principles of Big Data: Preparing, Sharing, and Analyzing Complex Information
Waltham, MA, Morgan Kaufmann, 2013

Some professional books are classics in their fields: Prosser and Keeton on Torts, Rubin's Pathology, and many others. Now there will be Berman on Big Data.
Dr. Jules Berman has conceived and crafted (the words "has written" are too tame) a comprehensive, definitive, explanatory treatment of the new analytical field which has come to be called "Big Data." The subject is germane to the modern quests for meaning involving many and different hosts of data--what do we have here? how do we put it together? does it have immutable characteristics? etc.
Like any professional classic, Big Data covers all the bases (it is longer than it looks and it is dense with information and ideas). The list of chapter titles shows that the book is all-encompassing. It is made clear which collection of data can be called "Big Data" and which cannot. (for example, "massive data" is not "big data"). Attribute after attribute is defined and examined. Nothing is left to chance. The book can be read straight through, but it can also be referred to by item or subject.
Two characteristics of Big Data need to be noted:
First, the Glossary is a classic of literary art in itself--145 items taking 17 pages of fine print to explain. The glossary descriptions take scientific and technical expressions such as "k-nearest neighbor algorithm" and "one-way hash" and bring them to light for the reader of any stripe, while giving useful specialized meanings to such otherwise commonplace expressions as "verification" and "validation."
Second, all through the book, Dr. Berman's many explanatory anecdotes have both the simplicity and the profundity of Aesop's Fables. They are worth savoring and enjoying just for themselves. And they do get the points over in classic fashion.
Dr, Berman's book is a reader's delight. It is remarkably free of acronyms, insider-jokes, and super-erudite constructions. It can be enjoyed profitably by readers along the whole scale of scientific expertise.
In science and technology, the concept of "big data" has a long way to go. To get there, one could hardly do better than to use Dr. Berman's Big Data as a companion on the way.

Geoffrey Cheadle
Brig Gen USAF (Ret.)
Chief Executive Manager
New Visions Data, LLC
2 von 2 Kunden fanden die folgende Rezension hilfreich
HASH(0x9d45b318) von 5 Sternen Extremely thorough 12. Januar 2014
Von Andrew Rodwin - Veröffentlicht auf
Format: Kindle Edition Verifizierter Kauf
One of the best technical books I've read (and I read quite a few). Articulate, thorough, fascinating. Many technical authors struggle with clarity. This book is as clear as it gets.
HASH(0x9d45b300) von 5 Sternen Berman's book on Big Data and thoroughly enjoyed it. The book provides a great framework to ... 16. August 2014
Von Hayes Williams - Veröffentlicht auf
Format: Taschenbuch
I just finished Dr. Berman's book on Big Data and thoroughly enjoyed it. The book provides a great framework to ask the right questions about your Big Data project. It takes you through a breadth of topics less about the technology and methods themselves and more about fundamental concepts across the entire space including possible pitfalls. The "gotchas" have the ring of experience behind them and the examples demonstrating each idea are detailed and extensive. If you want to find the book that will best start you thinking the right way about embarking on a project in this space, then this is it. Thanks very much, Dr. Berman.
3 von 12 Kunden fanden die folgende Rezension hilfreich
HASH(0x9d45b7d4) von 5 Sternen Timely topic to help understand PRISM, NSA and Snowden 18. Juni 2013
Von Rebel With Time - Veröffentlicht auf
Format: Taschenbuch
This book is highly relevant reading to understand the underlying issues associated with PRISM, NSA and Snowden headlines and actions.

Dr. Berman's book on Big Data is a timely edition where those familiar with the topic as well as novices can gain an appreciation for the benefits, risks and challenges associated with Big Data.
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