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Hadoop For Dummies
 
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Hadoop For Dummies [Format Kindle]

Dirk deRoos

Prix conseillé : EUR 24,72 De quoi s'agit-il ?
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Descriptions du produit

Présentation de l'éditeur

Let Hadoop For Dummies help harness the power of your data and rein in the information overload

Big data has become big business, and companies and organizations of all sizes are struggling to find ways to retrieve valuable information from their massive data sets with becoming overwhelmed. Enter Hadoop and this easy-to-understand For Dummies guide. Hadoop For Dummies helps readers understand the value of big data, make a business case for using Hadoop, navigate the Hadoop ecosystem, and build and manage Hadoop applications and clusters.

  • Explains the origins of Hadoop, its economic benefits, and its functionality and practical applications
  • Helps you find your way around the Hadoop ecosystem, program MapReduce, utilize design patterns, and get your Hadoop cluster up and running quickly and easily
  • Details how to use Hadoop applications for data mining, web analytics and personalization, large-scale text processing, data science, and problem-solving
  • Shows you how to improve the value of your Hadoop cluster, maximize your investment in Hadoop, and avoid common pitfalls when building your Hadoop cluster

From programmers challenged with building and maintaining affordable, scaleable data systems to administrators who must deal with huge volumes of information effectively and efficiently, this how-to has something to help you with Hadoop.


Détails sur le produit

  • Format : Format Kindle
  • Taille du fichier : 3445 KB
  • Nombre de pages de l'édition imprimée : 369 pages
  • Pagination - ISBN de l'édition imprimée de référence : 1118607554
  • Editeur : For Dummies; Édition : 1 (21 mars 2014)
  • Vendu par : Amazon Media EU S.à r.l.
  • Langue : Anglais
  • ASIN: B00F2JFS56
  • Synthèse vocale : Activée
  • X-Ray :
  • Classement des meilleures ventes d'Amazon: n°94.894 dans la Boutique Kindle (Voir le Top 100 dans la Boutique Kindle)
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Commentaires en ligne 

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Amazon.com: 4.0 étoiles sur 5  4 commentaires
12 internautes sur 13 ont trouvé ce commentaire utile 
1.0 étoiles sur 5 If You are Expecting an Intro Book with Examples that Work, Don't Buy This One 18 avril 2014
Par James Quinn - Publié sur Amazon.com
Format:Format Kindle|Achat vérifié
You'd think a tech book that uses a VM download to set the environment correctly would have examples that worked. Not this one. In example after example the code does not work. Good idea. Really poor execution. To use these examples you will be Google-hacking over and over. Also, the authors seem to never have taught anyone before: for example, they don't provide simple instructions to shut down the VM and save the state, they use different syntax style from chapter to chapter and when they start a new example they don't provide basic instructions on how to get right to the example. They just don't think through what a tutorial needs to do for 'Dummies'. Another example, in chapter 6 they introduce a "Flights by Carrier" example. It is needs to be setup on the VM you downloaded earlier. The VM gives everyone the same environment with the same directory structure. They tell introductory readers to "go to your directory with your Java code and compile it using the following command". Someone more familiar with training users would have listed the command to "go to the directory with your Java code". Readers not familiar with the Linux VM will be hacking around for a while in order to get there. For an intro book, this is just not acceptable. They make mistakes like this over and over.
2 internautes sur 3 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Kindle version (on Android) is better than shown in preview 1 mai 2014
Par Mark on Amazon - Publié sur Amazon.com
Format:Format Kindle|Achat vérifié
I bought the Kindle version and I am reading it on my Android tablet using the Kindle for Android app. In the preview here on the Amazon site, the table of contents for the book is a jumble. However, on my Android, it is perfectly fine.

The book provides an introduction to Big Data, cutting through the Himalayan-scale mounds of hype that surround Hadoop and other popular buzzwords. It also provides some guidance into setting up a Hadoop installation (Apache BigTop) in a VM. (I think it is a reasonable assumption if you are interested in learning about how to hands-on use Hadoop, then you are probably pretty comfortable with setting up a VM and navigating a Linux distribution.)

I don't know why Amazon won't get the TOC squared away on the preview here on the storefront. Quality control at Amazon seems to be slipping from the way it was back in the 90s...

Anyway, good book.
5.0 étoiles sur 5 Handy book for starters. 7 juin 2014
Par James B Sloan - Publié sur Amazon.com
Format:Format Kindle|Achat vérifié
These are fine and just what I needed for some of my data science projects. Good quality and good deal for the money!
2 internautes sur 7 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Good Book For Anyone Interested in Hadoop 25 avril 2014
Par A. Bisong - Publié sur Amazon.com
Format:Format Kindle|Achat vérifié
I have skim through this book to see if there are new things in the book for me. I have not yet tried the examples like the first reviewer during this first round of reading but wanted to have a feel for the book and I will try all the examples during my second round of reading this book and I will definitely roll up my sleeve and try all the examples. I will recommend this book for anyone who is new to Hadoop and also for the advance Hadoop engineers if you want to come up to speed on the latest in Hadoop . The book is well organized and very easy to read and follow. You will learn new things from this book and you will bring yourself up to speed on Hadoop versions 1.x and 2.x and the differences between the two versions.

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During my second round of reading and trying out the example I will agree with the first reviewer that some of the examples did not work and you have to spend a lot of time figuring how to get them to work. Also you have to be very good with Linux/unix to figure out the examples and get them to work which is the case with learning and using Hadoop any ways. However, the book is still very good book to read and learn about Hadoop even for non technical folks by skipping the example sections. The fact that the book is well organized, easy to read with lots of information about Big Data (minus the examples that do not work) I will still give it a five star.
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