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Big Data For Dummies (Anglais) Broché – 19 avril 2013

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Descriptions du produit

Présentation de l'éditeur

Find the right big data solution for your business or organization

Big data management is one of the major challenges facing business, industry, and not–for–profit organizations. Data sets such as customer transactions for a mega–retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you′ll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You′ll learn what it is, why it matters, and how to choose and implement solutions that work.

  • Effectively managing big data is an issue of growing importance to businesses, not–for–profit organizations, government, and IT professionals
  • Authors are experts in information management, big data, and a variety of solutions
  • Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more
  • Provides essential information in a no–nonsense, easy–to–understand style that is empowering

Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.

Quatrième de couverture

Learn to:

  • Leverage big data tools and architectures
  • Explore how big data can transform your business
  • Integrate structured and unstructured data into your big data environment
  • Use predictive analytics to make better decisions

Here′s the guide that can keep big data from becoming a big headache!

Big data can be a complex concept. For Dummies to the rescue! Here′s a plain–English explanation of what big data is (and isn′t), the technology and database options supporting it, analytics that help you get meaning from your data, how to manage it, and what it can do for your company. Business executive or IT person, here′s what you need to know.

  • What it is get your mind around big data from both a technical and business perspective
  • Organize it meet the big data stack and learn about different architectural levels, operational databases, organizing databases, and analytical data warehouses
  • Big data computing model explore distributed computing as well as the power of virtualization and the cloud
  • Hadoop and MapReduce learn the importance of Hadoop and MapReduce for big data analysis
  • Get analytical identify analytics tools for big data and evaluate the various new models that are evolving
  • Ready? Implement discover how to implement your big data solution with an eye to operationalizing and protecting your data
  • What it means see the importance of big data to your organization and how it′s used to solve problems

Open the book and find:

  • A definition of big data
  • Profiles of various available technologies
  • The role of the cloud
  • How MapReduce aids big data management
  • Why Hadoop is so important
  • Some specific uses for text analytics
  • How to approach big data security and privacy
  • Ten best practices for managing big data

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Détails sur le produit

  • Broché: 336 pages
  • Editeur : John Wiley & Sons (19 avril 2013)
  • Langue : Anglais
  • ISBN-10: 1118504224
  • ISBN-13: 978-1118504222
  • Dimensions du produit: 18,8 x 1,7 x 23,6 cm
  • Moyenne des commentaires client : 5.0 étoiles sur 5  Voir tous les commentaires (2 commentaires client)
  • Classement des meilleures ventes d'Amazon: 11.671 en Livres anglais et étrangers (Voir les 100 premiers en Livres anglais et étrangers)
  • Table des matières complète
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Couverture | Copyright | Table des matières | Extrait | Index | Quatrième de couverture
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Commentaires en ligne

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Commentaires client les plus utiles

2 internautes sur 2 ont trouvé ce commentaire utile  Par Guy le 29 août 2013
Format: Format Kindle Achat vérifié
Facile à lire
Pas trop technique
Excellente introduction sur le sujet big data
Cependant, d'autres lectures seront nécessaire pour approfondir le sujet
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Par Vi Sam le 18 mai 2014
Format: Broché Achat vérifié
Bon livre pour comprendre ce qui se cache derrière le mot à la mode "Big Data".
Bien expliqué avec des exemples nombreux
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Désolé, nous n'avons pas réussi à enregistrer votre vote. Veuillez réessayer

Commentaires client les plus utiles sur (beta) 31 commentaires
32 internautes sur 38 ont trouvé ce commentaire utile 
Big words for dummies 26 août 2013
Par Vasan Subramanian - Publié sur
Format: Broché
I regret buying this book. No, it's not the money that I paid, I regret the time I spent trying to see if there was something that I could learn in it.

The book is a LOT of verbiage and adjectives. "Massive" or "scalable" finds its place in almost every page. In one page, I found 5 instances of "massive". Here is another extreme example: "Sparse, distributed, persistent multidimensional sorted map." There are at least three occurrences of that exact phrase.

If you want echo the hype that Big Data is great and learn all the jargon that is used in it, this book is for you. If you want to know why, or get down to fundamentals, skip it. There are typos (eg, [...] and factual inaccuracies (eg, the definition of unstructured data.) There are also completely incomprehensible examples under the garb of "code".

The book says little more than "Big Data is lot of data, you got to deal with it bit by bit". And it takes quite a few words to say that. It has no depth. Even when reading the last chapter, you feel that you're reading the introduction.
19 internautes sur 22 ont trouvé ce commentaire utile 
Inexcusably bad writing 6 décembre 2013
Par TJ - Publié sur
Format: Broché
Incoherent. It was amazing to read things I understood already, and not understand the explanations. Apparently written piecemeal by committee.
31 internautes sur 39 ont trouvé ce commentaire utile 
Glib, rambling and incoherent 6 septembre 2013
Par Dana Robinson - Publié sur
Format: Broché
First, my background: I am a data and software architect at a company that produces software to handle very large quantities of scientific data. I picked this book up to see if it were worth recommending to other people at my company. (spoiler: it is not)

This book uses a lot of words to say very little and what it does say is often either incomplete to the point of uselessness or flat out wrong. The text is full of buzzwords and jargon, often used incorrectly. The figures are laughably useless (see figure 3-2 for a GREAT example). I think that the problem might be that Hurwitz and co. are business consultants and possibly in the habit of creating poorly researched, content-free, and buzzword-heavy prose for people with a limited depth of knowledge.

I would not recommend this book to anyone. Well, maybe I'd recommend it as a great example of very bad technical writing, but that's about it. I have no idea how other people are giving this five stars. Perhaps they are sockpuppet accounts.

Sadly, I don't know of a good introduction to the myriad of technologies that falls into the "big data" category. Such a book would be difficult to write well since it would have to make many complicated topics understandable to a novice.
2 internautes sur 2 ont trouvé ce commentaire utile 
Helpful for the Uninitiated 12 avril 2014
Par Edward J. Barton - Publié sur
Format: Broché Achat vérifié
My Engineering department constantly talks about Hadoop, Sqoop, Pig and Hive, and I was afraid that the zookeeper they referred to was somehow a real thing. So, I bought Big Data for Dummies. If you are brand new to the world of big data, the book will be a decent resource. You'll get the bulk of the buzzwords, a fair bit of general information, and some useful things to consider as part of the implementation process (where as a business leader, I needed to learn something) in the book. Sections of it are written for folks who may have a bit stronger engineering background than my one FORTRAN class 20 years ago, and these sections are pretty tough to comprehend.

I wish it had more general business elements, and the sections that deal with the problems and challenges of big data (Parts 5-7) are probably the most useful to the business generalist. If they could plus these up in the next edition, it would be great.

However, if you are looking for a quick read to get a general idea of what this is all about, it's an OK book - probably 3.5 stars, candidly...
2 internautes sur 2 ont trouvé ce commentaire utile 
Good Introduction 11 mai 2014
Par XW - Publié sur
Format: Broché
It covers a lot of aspects of big data, topics include:

• Why big data is different than the traditional data management: (3 V's). CRAP data instead of CRUD data.
• Why distributed computing/parallel computing is important for big data analysis.
• The big data stack, storage (physical), management (database, file system, etc), analysis (big data warehousing), and applications.
• Why virtualization (of server, network, storage etc) is important for Big data ecosystem, while not strictly required.
• Why public cloud (such as Amazon, Google, MS Azure) is important for Big data implementation, while not strictly required.
• Survey of big data management (databases) , from traditional RDBMS to non-relational DB, KV DB, Document DB, Column Oriented DB, etc, etc.
• Big data analysis, MapReduce, Hadoop, Traditional Data Warehousing.
• Big data implementation, operation, applications.

While not covering all the topics in great technical details and depth, it does give very good overviews.
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