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Hadoop For Dummies [Format Kindle]

Dirk deRoos

Prix conseillé : EUR 25,32 De quoi s'agit-il ?
Prix éditeur - format imprimé : EUR 29,07
Prix Kindle : EUR 18,99 TTC & envoi gratuit via réseau sans fil par Amazon Whispernet
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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.

Quatrième de couverture

Learn to: Understand the value of big data and how Hadoop can help manage it Navigate the Hadoop 2 ecosystem and create clusters Use applications for data mining, problem–solving, analytics, and more The easy–to–use, practical guide to using Hadoop for big data With most of the worlds data created in only the past two years, Hadoop has emerged as the definitive computing paradigm to handle big data. This comprehensive guide from IBM big data experts provides a hands–on resource for those who want to dig into the details of HDFS and MapReduce to take data storage and processing to the next level. Get started with Hadoop discover the origins of Hadoop, the realities of worldwide data growth, and practical use cases for this revolutionary platform Under the Hadoop hood dig into Hadoops distributed framework, including HDFS and MapReduce and the best tools for working with data in Hadoop Hadoop and structured data modernize data warehouses with Hadoop and discover data utilities like HBase, Hive, and Sqoop Hands on with Hadoop get your hands dirty with details on configuring Hadoop clusters and an overview of day–to–day Hadoop administration Take your Hadoop knowledge to the next level use additional Hadoop resources to understand the technology at a deeper level Open the book and find: Coverage of the Hadoop 2 ecosystem and Yarn Real–world use cases to help you get started Details on Hadoop distributions and cluster setup How to use Oozie for scheduling workflows How to add structure with Hive and HBase Details on running native SQL queries on Hive On–premise and cloud deployment options for Hadoop The challenges faced by administrators

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 :
  • Word Wise: Non activé
  • Composition améliorée: Non activé
  • Classement des meilleures ventes d'Amazon: n°137.909 dans la Boutique Kindle (Voir le Top 100 dans la Boutique Kindle)

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Amazon.com: 3.1 étoiles sur 5  12 commentaires
26 internautes sur 31 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.
9 internautes sur 11 ont trouvé ce commentaire utile 
1.0 étoiles sur 5 Was this book proofread at ALL? 1 août 2014
Par GTower - Publié sur Amazon.com
First the good. The book does a good job at explaining the high level concepts of the hadoop architecture, what it does and why it's useful.

Now the bad.

The hallmark of a good intro technical book is a well constructed set of examples through which the user can walk. In this case, even the simplest of examples they provided don't work. It took me a while just to figure out that the author adds "\" characters at the end of most lines in code examples; characters which will cause whatever you're running to fail. Even accounting for that, there are other significant syntax errors such as omitting necessary quotes, and referencing incorrect files. I spent a weeks trying to get the very first code example to work, and two weeks (still unanswered from Wiley support) trying to fix the issue. Ultimately I had to conglomerate several other sources to troubleshoot the error filled code the book supplied.

I'd say except for all the errors, the book is good, but the errors make it so impossible to work with, I can't imagine to whom this book would be useful. If you have a strong programming background and can troubleshoot things you don't know about, it's possible to inch through the material. Otherwise, I would NOT recommend this.
4 internautes sur 4 ont trouvé ce commentaire utile 
2.0 étoiles sur 5 A missed opportunity. 27 octobre 2014
Par W. J. Vovil - Publié sur Amazon.com
Had promise; but even the instructions for setting up bigtop did not work and the HDFS commands were wrong. I liked the author's style and approach but a technical book MUST have accurate commands for examples, especially when the environment is provided and under the control of the author. I am a BIG Data expert in this field and was going to recommend this book to beginners; but alas cannot. I would be willing to assist in rectifying the errors but could not contact author :-)
4 internautes sur 4 ont trouvé ce commentaire utile 
2.0 étoiles sur 5 Don't buy this book if you care about the examples working. 8 novembre 2014
Par Jeff Gordon - Publié sur Amazon.com
I bought this book mainly for the lab exercises and hands on experience. Very disappointed that there are so many errors. I couldn't even get the very first example to work.
3 internautes sur 3 ont trouvé ce commentaire utile 
1.0 étoiles sur 5 Examples do not work. 18 mai 2015
Par Michael Hall - Publié sur Amazon.com
Format:Broché|Achat vérifié
The examples do not work. They point to URL's that don't exist. You have to be in certain directories to execute commands and they don't tell you. Syntax errors. Very bad book. Wish I had not bought it. I usually do really good with the For Dummies series however I do not recommend this book.
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