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Big Data Now: Current Perspectives from O'Reilly Radar [Format Kindle]

O'Reilly Radar Team
5.0 étoiles sur 5  Voir tous les commentaires (1 commentaire client)

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Présentation de l'éditeur

This collection represents the full spectrum of data-related content we’ve published on O’Reilly Radar over the last year. Mike Loukides kicked things off in June 2010 with “What is data science?” and from there we’ve pursued the various threads and themes that naturally emerged. Now, roughly a year later, we can look back over all we’ve covered and identify a number of core data areas:

Data issues -- The opportunities and ambiguities of the data space are evident in discussions around privacy, the implications of data-centric industries, and the debate about the phrase “data science” itself.

The application of data: products and processes – A “data product” can emerge from virtually any domain, including everything from data startups to established enterprises to media/journalism to education and research.

Data science and data tools -- The tools and technologies that drive data science are of course essential to this space, but the varied techniques being applied are also key to understanding the big data arena.

The business of data – Take a closer look at the actions connected to data -- the finding, organizing, and analyzing that provide organizations of all sizes with the information they need to compete.


Détails sur le produit

  • Format : Format Kindle
  • Taille du fichier : 731 KB
  • Nombre de pages de l'édition imprimée : 149 pages
  • Utilisation simultanée de l'appareil : Illimité
  • Editeur : O'Reilly Media; Édition : 1 (30 août 2011)
  • Vendu par : Amazon Media EU S.à r.l.
  • Langue : Anglais
  • ASIN: B00BELZE46
  • Synthèse vocale : Activée
  • X-Ray :
  • Word Wise: Non activé
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  • Moyenne des commentaires client : 5.0 étoiles sur 5  Voir tous les commentaires (1 commentaire client)
  • Classement des meilleures ventes d'Amazon: n°12.560 des titres gratuits dans la Boutique Kindle (Voir le Top 100 gratuits dans la Boutique Kindle)
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Commentaires client les plus utiles
5.0 étoiles sur 5 excellent ouvrage 30 avril 2013
Par Rlfdinky
Format:Format Kindle|Achat vérifié
Une bonne présentation du big data avec des temoignages
Un ouvrage qui m a permis de tracer des applis réelles du big data
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Commentaires client les plus utiles sur Amazon.com (beta)
Amazon.com: 4.1 étoiles sur 5  31 commentaires
6 internautes sur 7 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 Thorough introduction to the current Big Data landscape 1 juillet 2012
Par Erik Gfesser - Publié sur Amazon.com
Format:Format Kindle
Thorough introduction to the current Big Data landscape. After discussions of data science, associated tooling used in this space, and issues likely to be encountered with data, which comprise about half the text, the editors shift the discussion to the application of data science findings and the business of data. The only dissenter in terms of the effectiveness of what the authors share here actually touches upon a benefit rather than a drawback when they write that this book was apparently not written by data scientists: because the authors write with management in mind, the discussion does not get lost in the many technical details that comprise Big Data, but instead provides a compact, highly readable summary of a range of related subject matter.

The authors tackle Big Data terminology well, beginning with the term "Big Data" itself. "We've all heard a lot about 'big data' but 'big' is really a red herring. Oil companies, telecommunication companies, and other data-centric industries have had huge datasets for a long time. And as storage capacity continues to expand, today's 'big' is certainly tomorrow's 'medium' and next week's 'small'. The most meaningful definition I've heard: 'big data' is when the size of the data itself becomes part of the problem. We're discussing data problems ranging from gigabytes to petabytes of data. At some point, traditional techniques for working with data run out of steam." The aspect that makes what is now being attempted different is that information platforms designed to explore and understand data, beyond traditional business intelligence, are being built.

As a consultant, I especially appreciate the links that the editors provide throughout for tooling and other technical subjects that would otherwise significantly increase the length of this white paper sized book. The interviews with individuals from companies in this space, such as Infochimps and Gnip, is also appreciated. And although it ends rather abruptly, the last chapter on the business of data, which compliments the first chapter, is especially well done, including a discussion of the emerging Big Data stack comprised of both open source and commercial products that furthers the presention of the SMAQ stack (Storage, MapReduce, and Query) discussed earlier in the book. Recommended to anyone within or looking to enter the Big Data space.
2 internautes sur 2 ont trouvé ce commentaire utile 
3.0 étoiles sur 5 Cursory and Anecdotal 30 janvier 2014
Par Dr. Bojan Tunguz - Publié sur Amazon.com
Format:Format Kindle|Achat vérifié
As someone who is enthusiastic about technology, but not necessarily an insider, I've been wondering what Big Data is all about for a while. A few short e-books from O'Reilly media have managed to clear give me a pretty clear picture. This short e-book has certainly helped too, but it's not the best introduction to the subject that I've come across. It is comprised of several essays, expositions and interviews, each of which is meant to give you a taste of what is meant by Big Data. Mike Loukides' "What is Data Science?" is probably the best pert of the ebook, especially if you are a total noob. However, it is available as a separate Kindle ebook in its own right, and I would recommend that you just read it that way. The interviews are somewhat interesting, but most of them suffer from the tendency of the interlocutors to overhype their own perspective. In the end, I've come away from this book believing that Big Data is indeed a qualitatively new way of approaching data, information, and businesses that are constructed around it. However, it's still a hodgepodge of different skills and practices that cannot quite be pinned down. In a way, this flexibility can be a strength when working in a rapidly changing and competitive technological and business environments, but it makes hard for the outsiders to understand what this field is exactly about.
1 internautes sur 1 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 Overview 16 août 2013
Par Peter Wilbur - Publié sur Amazon.com
Format:Format Kindle|Achat vérifié
Nice overview of what is happening in various areas with "big data". Does not get too deep into any subject but does try to offer definitions and discusses tools.
1 internautes sur 1 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 Great for Free, Chapters on Different Subjects 9 avril 2013
Par E. Walker - Publié sur Amazon.com
Format:Format Kindle|Achat vérifié
This has two or three chapters that do a good job of explaining what Big Data is, and what the tools are to work with it. That was exactly what I was looking for. It does a good job of explaining in general terms what Hadoop is, and what programs like PIG and HIVE have to do with it.
4.0 étoiles sur 5 Good informative book for beginners 13 février 2014
Par Amazon Customer - Publié sur Amazon.com
Format:Format Kindle|Achat vérifié
Good informative book for beginners. This book and 2012 edition are too good to know about Big Data and its concepts.
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