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Disruptive Possibilities: How Big Data Changes Everything by [Needham, Jeffrey]
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Disruptive Possibilities: How Big Data Changes Everything Kindle Edition

4.5 out of 5 stars 4 customer reviews

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Length: 94 pages

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Product Description

About the Author

Jeff Needham is the founder of Scale Abilities, Inc., a Silicon Valley consulting firm, and does ecosystem platform engineering at Hortonworks in Palo Alto, California. With 25 years experience in both hardware and software engineering, he is a frequent writer and speaker on topics of database performance and scalability, platform engineering and Hadoop cluster technology. Customers appreciate Jeff's creative strategies for evaluating and implementing their big data initiatives.


Product details

  • Format: Kindle Edition
  • File Size: 4988 KB
  • Print Length: 94 pages
  • Page Numbers Source ISBN: 1449369677
  • Simultaneous Device Usage: Unlimited
  • Publisher: O'Reilly Media; 1 edition (6 May 2013)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B00CLH387W
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Not Enabled
  • Average Customer Review: 4.5 out of 5 stars 4 customer reviews
  • Amazon Bestsellers Rank: #9,425 Free in Kindle Store (See Top 100 Free in Kindle Store)
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Top Customer Reviews

Format: Kindle Edition Verified Purchase
As a platform architect myself, I've read a lot of material on Big Data and the challenges surrounding the implementation of Big a Data solutions. This short read provides a much needed introduction into how to go about approaching these problems. The key takeaway is that a Big Data platform architect has to think differently. It's not sufficient to adopt a silo mentality and to think of a Big Data platform as a"stack". Rather the Big Data platform architect has to be able to visualise the whole ecosystem of components if the wish to succeed.

This is a must read for platform architects.
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Format: Kindle Edition Verified Purchase
This ebook is disturbing as it goes on to explain how major companies can map out their selling tactics according to personal purchasing cycles. How selling devices can evolve based on existing purchasing trends.
It will show how the lay person on the street can be manipulated towards a 'desired' purchase even, they hadn't set out to make such purchases.
In saying the above I do recommend this ebook.
What is the adage, know your enemies, never more true than in this field of study. This ebook allows us all to be aware of the art of persuasion.
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Format: Kindle Edition
"Big Data" in the current big thing, with the world of sensors and user interactions providing a wealth of information that companies not only need to worry about storing but also utilising to make smart decisions to get ahead of their competitors and win over their customers. This book provides the background to where Big Data computer comes from and what it means for enterprise and commercial organisations. The concepts of Big Data are not new and have derived from disruptive computing elements from the past, the history of which is clearly and interestingly explained. The differences between Big Data and scientific supercomputing, grid, and cloud are also covered.

To keep up with the Big Data game IT departments in organisations are likely to need to make many changes, not only to their hardware and software platforms, but also to the way their departments operate and their applications are written. These disruptions are discussed along with the nature of Big Data platforms, in particular Hadoop. There is also a chapter on the future of Big Data. Nothing in computing ever stands still, so it is useful to have a view of where the next big thing might be heading or coming from.

To begin with I found the book a little difficult to read, in particular the first chapter appeared to be a game of buzz-word bingo on steroids! The cause and problems created by silos being the main point of the early part of the book. It felt a bit like arm-waving marketing preachiness to start with, however, the further into the book I got, the more understandable, relevant, and informative it became.
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Format: Kindle Edition Verified Purchase
I bought this as a gift to a friend. He found the book very useful.
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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: HASH(0xa0a8d894) out of 5 stars 37 reviews
5 of 5 people found the following review helpful
HASH(0xa09eb7f8) out of 5 stars not quite what I thought 6 Dec. 2013
By Josh Denesnah - Published on Amazon.com
Format: Kindle Edition Verified Purchase
This was helpful to give me context on big data, the history, and some vision to the future. For good or ill, I expected more about how to think about introducing big data into my company.
2 of 2 people found the following review helpful
HASH(0xa0aaed38) out of 5 stars Viewing the Internet as a Large-scale Computing Platform 7 Jun. 2013
By Here Now - Published on Amazon.com
Format: Kindle Edition
As an author Jeffrey Needham manages in his short book the impressive feat of being sharply concise, broadly relevant, entertaining, personally committed and revealing in unfolding the aspects of his topic. He gives you just the history you need to understand the fundamental challenge of scale in the Big Data era of network computing. And the disruption in the book's title comes from the urgent insight that any organization that intends to take on the challenges of working with an internet-scale data set must adopt a platform engineering outlook, requiring all enterprise computing subject area experts to design specific pieces of the system with an awareness of what the system currently does and will evolve to do as a whole. Perpetual innovation from a platform view is the mantra this book will bring to scrum whiteboards, executive suites, and boardrooms.
1 of 1 people found the following review helpful
HASH(0xa0aaeb64) out of 5 stars IT marketing, nothing to see here, move along. 11 April 2015
By Chiarrai Ceim - Published on Amazon.com
Format: Kindle Edition Verified Purchase
Another shameless parade of unsubstantiated predictions about the marvels of the next big IT thing. In this case it's "big data" and how Hadoop, N.O.SQL will "change everything," even a universe creating Big Bang analogy in the mix. Along with the usual invented terminology of IT. "Software ecosystems", anyone with experience at the task of getting everything to work knows that's the marketing department going too far, once again. Please, unlike OOP, "the cloud" or any of a number of other IT contrivances, nail down "big data" for me. This book sure doesn't. Other than "all the data from everyone at once", and "look at how much data there is everywhere." Let alone that it will be magically all collected together and organized to give "analytics" that answer all scientific, social or philosophical questions for ever. Hadoop? N.O.SQL? This book gives them magical powers I can't see any evidence of in the real world. Too much like the unrealized promises of the Object Oriented "paradigm" and everything trotted out in similar fashion, since. Very complex systems, give very complex results that only a few can make sense of. It's the nature of life, everything and the universe, so to speak. Finally, does it really need to be said? The author's career is invested in the success of Hadoop, "big data" and N.O.SQL. As well as his daily paycheck. Like the old saying goes, "it's wonderful, the adverts speak so highly of it."
1 of 1 people found the following review helpful
HASH(0xa09efe94) out of 5 stars repetitive, unclear writing 17 Mar. 2014
By AJ - Published on Amazon.com
Format: Kindle Edition Verified Purchase
If any of the reviewers are experts in the field, trust their reviews. Maybe having a background will help this book make sense.
As a highly educated lay person, I found this book all sizzle and no steak, repetitively repeating over and over again, without ever getting to the point. If there was a point.

As near as I can tell, his thesis is that lots of computing power let people see patterns that they couldn't detect before. Maybe you can use those patterns to beat the competition. If you could, that would be awesome. [which is a fair point].
HASH(0xa0cc436c) out of 5 stars A good read for those embarking onto the Big Data journey 12 July 2013
By A. Zubarev - Published on Amazon.com
Format: Paperback
I am sure every IT pro, executive or about anyone who interfaces databases on a regular basis already heard of the Big Data term. However, despite is was arguably coined back in year 2000 the actual raise of the waive has just began. Jeffrey Needham's book is exactly for those who are willing to ride or already on this wave.

Jeffrey Needham will take you through a short history of Big Data and amaze with useful facts as well as sure set you right regarding the expectations starting from the implementation to running a Big Data enterprise.

The journey will continue and expand into covering the aspects of acquiring, setting up and running a Big Data venture.

More importantly, the book opens the eyes on what are the emerging possibilities and potential dangers in Big Data lowered adoption entry bar. The author will dispel several myths some IT folks may be believing in, so stay tuned for surprises as DYI supercomputing (hey, but I am not going to reveal them all here, grab your copy)!

Throughout the book I have found numerous points I suspected would be applicable to companies embarking onto the Big Data as team organization and the historical cycles repetition and agree in full with just every one.

As an aside, every book from the Strata category complements each other, and in my opinion are all a must read for individuals involved in activities ranging from ETL to building databases or governing the process.

I am giving this book the maximum mark because it did deliver what it promised.

I must add this book is an excellent pick to read for a person at an airport or in-flight, or for those trying to unwind productively after a long day at work or while away from family in a hotel room.

Please feel free to leave comments at my personal blog http://wblo.gs/dsj
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