Es wird kein Kindle Gerät benötigt. Laden Sie eine der kostenlosen Kindle Apps herunter und beginnen Sie, Kindle-Bücher auf Ihrem Smartphone, Tablet und Computer zu lesen.

  • Apple
  • Android
  • Windows Phone
  • Android

Geben Sie Ihre Mobiltelefonnummer ein, um die kostenfreie App zu beziehen.

Kindle-Preis: EUR 0,00
inkl. MwSt.

Diese Aktionen werden auf diesen Artikel angewendet:

Einige Angebote können miteinander kombiniert werden, andere nicht. Für mehr Details lesen Sie bitte die Nutzungsbedingungen der jeweiligen Promotion.

An Ihren Kindle oder ein anderes Gerät senden

Facebook Twitter Pinterest <Einbetten>
Disruptive Possibilities: How Big Data Changes Everything von [Needham, Jeffrey]
Anzeige für Kindle-App

Disruptive Possibilities: How Big Data Changes Everything Kindle Edition


Alle Formate und Ausgaben anzeigen Andere Formate und Ausgaben ausblenden
Preis
Neu ab Gebraucht ab
Kindle Edition
"Bitte wiederholen"
EUR 0,00

Länge: 94 Seiten Sprache: Englisch

Unsere Schatzkiste
Entdecken Sie monatlich Top-eBooks für je 1,99 EUR. Exklusive und beliebte eBooks aus verschiedenen Genres stark reduziert.

Produktbeschreibungen

Kurzbeschreibung

Big data has more disruptive potential than any information technology developed in the past 40 years. As author Jeffrey Needham points out in this revealing book, big data can provide unprecedented visibility into the operational efficiency of enterprises and agencies.

Disruptive Possibilities provides an historically-informed overview through a wide range of topics, from the evolution of commodity supercomputing and the simplicity of big data technology, to the ways conventional clouds differ from Hadoop analytics clouds. This relentlessly innovative form of computing will soon become standard practice for organizations of any size attempting to derive insight from the tsunami of data engulfing them.

Replacing legacy silos—whether they’re infrastructure, organizational, or vendor silos—with a platform-centric perspective is just one of the big stories of big data. To reap maximum value from the myriad forms of data, organizations and vendors will have to adopt highly collaborative habits and methodologies.

Über den Autor und weitere Mitwirkende

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.


Produktinformation

  • Format: Kindle Edition
  • Dateigröße: 4988 KB
  • Seitenzahl der Print-Ausgabe: 94 Seiten
  • ISBN-Quelle für Seitenzahl: 1449369677
  • Gleichzeitige Verwendung von Geräten: Keine Einschränkung
  • Verlag: O'Reilly Media; Auflage: 1 (6. Mai 2013)
  • Verkauf durch: Amazon Media EU S.à r.l.
  • Sprache: Englisch
  • ASIN: B00CLH387W
  • Text-to-Speech (Vorlesemodus): Aktiviert
  • X-Ray:
  • Word Wise: Nicht aktiviert
  • Verbesserter Schriftsatz: Nicht aktiviert
  • Durchschnittliche Kundenbewertung: Schreiben Sie die erste Bewertung
  • Amazon Bestseller-Rang: #14.612 Kostenfrei in Kindle-Shop (Siehe Top 100 - Kostenfrei in Kindle-Shop)

  •  Ist der Verkauf dieses Produkts für Sie nicht akzeptabel?

Welche anderen Artikel kaufen Kunden, nachdem sie diesen Artikel angesehen haben?

Kundenrezensionen

Es gibt noch keine Kundenrezensionen auf Amazon.de
5 Sterne
4 Sterne
3 Sterne
2 Sterne
1 Stern

Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)

Amazon.com: 4.1 von 5 Sternen 37 Rezensionen
5 von 5 Kunden fanden die folgende Rezension hilfreich
3.0 von 5 Sternen not quite what I thought 6. Dezember 2013
Von Josh Denesnah - Veröffentlicht auf Amazon.com
Format: Kindle Edition Verifizierter Kauf
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 von 2 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Viewing the Internet as a Large-scale Computing Platform 7. Juni 2013
Von Here Now - Veröffentlicht auf 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 von 1 Kunden fanden die folgende Rezension hilfreich
1.0 von 5 Sternen IT marketing, nothing to see here, move along. 11. April 2015
Von Arnold Z - Veröffentlicht auf Amazon.com
Format: Kindle Edition Verifizierter Kauf
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 von 1 Kunden fanden die folgende Rezension hilfreich
2.0 von 5 Sternen repetitive, unclear writing 17. März 2014
Von AJ - Veröffentlicht auf Amazon.com
Format: Kindle Edition Verifizierter Kauf
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].
5.0 von 5 Sternen A good read for those embarking onto the Big Data journey 12. Juli 2013
Von A. Zubarev - Veröffentlicht auf Amazon.com
Format: Taschenbuch
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
Waren diese Rezensionen hilfreich? Wir wollen von Ihnen hören.
click to open popover