Aucun appareil Kindle n'est requis. Téléchargez l'une des applis Kindle gratuites et commencez à lire les livres Kindle sur votre smartphone, tablette ou ordinateur.

  • Apple
  • Android
  • Windows Phone
  • Android

Pour obtenir l'appli gratuite, saisissez votre numéro de téléphone mobile.

Prix Kindle : EUR 30,28

EUR 12,48 (29%)

TVA incluse

Ces promotions seront appliquées à cet article :

Certaines promotions sont cumulables avec d'autres offres promotionnelles, d'autres non. Pour en savoir plus, veuillez vous référer aux conditions générales de ces promotions.

Envoyer sur votre Kindle ou un autre appareil

Envoyer sur votre Kindle ou un autre appareil

Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data par [Ellis, Byron]
Publicité sur l'appli Kindle

Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data Format Kindle

Voir les formats et éditions Masquer les autres formats et éditions
Prix Amazon
Neuf à partir de Occasion à partir de
Format Kindle
"Veuillez réessayer"
EUR 30,28

Longueur : 401 pages Langue : Anglais

Descriptions du produit

Présentation de l'éditeur

Construct a robust end-to-end solution for analyzing and visualizing streaming data

Real-time analytics is the hottest topic in data analytics today. In Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data, expert Byron Ellis teaches data analysts technologies to build an effective real-time analytics platform. This platform can then be used to make sense of the constantly changing data that is beginning to outpace traditional batch-based analysis platforms.

The author is among a very few leading experts in the field. He has a prestigious background in research, development, analytics, real-time visualization, and Big Data streaming and is uniquely qualified to help you explore this revolutionary field. Moving from a description of the overall analytic architecture of real-time analytics to using specific tools to obtain targeted results, Real-Time Analytics leverages open source and modern commercial tools to construct robust, efficient systems that can provide real-time analysis in a cost-effective manner. The book includes:

  • A deep discussion of streaming data systems and architectures
  • Instructions for analyzing, storing, and delivering streaming data
  • Tips on aggregating data and working with sets
  • Information on data warehousing options and techniques

Real-Time Analytics includes in-depth case studies for website analytics, Big Data, visualizing streaming and mobile data, and mining and visualizing operational data flows. The book's "recipe" layout lets readers quickly learn and implement different techniques. All of the code examples presented in the book, along with their related data sets, are available on the companion website.

Quatrième de couverture


Real–Time Analytics provides a complete end–to–end solution for cost–effective analysis and visualization of streaming data. Beginning with a description of the required analytics ecosystem, the book builds upon that foundation with practical guidance toward the tools and techniques that get targeted results. Outlining best practices for each specific application throughout the discovery life cycle, the approach provides easy–to–follow instructions for implementing the presented tools and techniques. Examples taken from real–world applications highlight the usage of various aspects of data processing from tabulation to visualization and forecasting. Readers will:

  • Understand the components of streaming data systems, including their full capabilities and characteristics
  • Learn the relevant architecture and best practices for analysis and storage of streaming data
  • Develop a system for data aggregation, delivery, and warehousing using open source and commercial tools
  • Learn the implementation and application of advanced algorithms and data structures to streaming applications

Decreasing data acquisition costs and increasing connectivity are enabling ever more efficient methods of continuous collection, so why do analysis platforms remain largely batch–based? The tools do exist to efficiently handle streaming data analysis and visualization feasibly in terms of time, maintenance and hardware. This book guides readers through the construction of a robust, cost–efficient system with clear, expert instruction.

Détails sur le produit

  • Format : Format Kindle
  • Taille du fichier : 1721 KB
  • Nombre de pages de l'édition imprimée : 401 pages
  • Pagination - ISBN de l'édition imprimée de référence : B01D2T0CCG
  • Editeur : Wiley; Édition : 1 (23 juin 2014)
  • Vendu par : Amazon Media EU S.à r.l.
  • Langue : Anglais
  • Synthèse vocale : Activée
  • X-Ray :
  • Word Wise: Non activé
  • Composition améliorée: Non activé
  • Moyenne des commentaires client : Soyez la première personne à écrire un commentaire sur cet article
  • Classement des meilleures ventes d'Amazon: n°194.255 dans la Boutique Kindle (Voir le Top 100 dans la Boutique Kindle)
  •  Voulez-vous faire un commentaire sur des images ou nous signaler un prix inférieur ?

click to open popover

Commentaires en ligne

Il n'y a pas encore de commentaires clients sur
5 étoiles
4 étoiles
3 étoiles
2 étoiles
1 étoile

Commentaires client les plus utiles sur (beta) HASH(0x914f7b28) étoiles sur 5 11 commentaires
10 internautes sur 11 ont trouvé ce commentaire utile 
HASH(0x9152372c) étoiles sur 5 End-to-End Solution that gets you excited about its applications 1 septembre 2014
Par Dave Robertson - Publié sur
Format: Broché Achat vérifié
Brilliant book, well written and easy to understand. Just wish the examples were written in Ruby rather than JAVA but I cant hold that against the author ;).. The book provides a way of solving a problem with an end-to-end solution. Which allows you to understand one way of solving the problem giving you insights into this new area which really get the gears cranking for ideas to potential applications within your own domain.

Awaiting Byron' next book with eager anticipation!
3 internautes sur 3 ont trouvé ce commentaire utile 
HASH(0x91523978) étoiles sur 5 Helpful and interesting 3 janvier 2015
Par Anatoly Korzun - Publié sur
Format: Broché
I have read first 6 chapters of the book and just browsed remaining 5 chapters because at the moment their subject is less interesting for me. My overall impression of the book is quite positive. Probably, I will return to it again and again.

Given book presents an architecture for real-time analytics and explains what blocks you need to build it. Then it goes thru more details for each construction block, like data ingestion, real-time processing, and shows what alternative tools you may choose from. Each tool of choice is described in more details.

In particular details are given for ZooKeeper, Flume, Kafka, Storm, and Samza. However, certainly one can find more detailed explanation for each of them in their manuals, or in books specifically devoted to those tools.

I was surprised that book on real-time analytics even doesn't mention Spark streaming.

Explanations are clear and concise. I would recommend this book to anyone interested in the subject.
3 internautes sur 3 ont trouvé ce commentaire utile 
HASH(0x91523bb8) étoiles sur 5 Awesome Real-Time Analytics roadmap guide. 5 décembre 2014
Par Nicos Kekchidis - Publié sur
Format: Broché
Exceptional roadmap study for Real-time Analytics. Can be used as a practical reference guide as well. Prior to reading this book or as a companion I would highly recommend to have solid end-to-end grasp on at least one distributed computing concepts and implementation. For that "Hadoop in Practice, 2nd edition" would be best (not the first edition, which covers Hadoop 1 and doesn't cover advanced concepts covered in Byron's book). Lot of spot on recommendations to choose from in this "Real-time Analytics". Fun to study!
7 internautes sur 9 ont trouvé ce commentaire utile 
HASH(0x91523f18) étoiles sur 5 When you're done reading this, you'll understand what Real-Time analytics is about, and the modern-day tools to get you going .. 19 septembre 2014
Par nyceyes - Publié sur
Format: Broché Achat vérifié
'Wiley', are you listening? =:)

I do a lot of Real-Time work, so this hardy applause comes with experience.

There's a lot of piecemeal content out there which, yes, one can cobble together over time. But for an experienced person to *sequence* an audience through a subject with a bigger, end-to-end solutions point of view in mind -- which is what Byron Ellis' book does for the Real-Time use case -- is a **totally different value proposition**. Speaking from personal experience, it takes a HUGE amount of time, commitment, financial investment in a mini-laboratory (etc.) to constantly tinker with and learn this fast evolving ecosystem towards some practical end. And this is precisely why the cobble-it-together approach doesn't work for many people: It takes stamina, focus, tenacity, and dedication.

Byron coalesced this information in this book.

Take any section, say, Kafka. I know (as a writer) that his stepping people through it's configuration directives was not fun, but he did it because he understood that Kafka alone wasn't enough. He wanted the audience to understand the trade-offs that needed to be considered. And also, beyond being just another message broker, how Kafka could be thought of as a structured persistence layer in and or itself.

You'll see more of what I mean in this well-executed book. Well worth the price.
HASH(0x91523ccc) étoiles sur 5 A decent review 3 août 2015
Par Dimitri K - Publié sur
Format: Broché Achat vérifié
I hesitated how many stars this book deserved, five or four. The book is a review of some available technologies and methods. It is a decent effort to teach complicated mathematical stuff to software developers, who usually know addition, sometimes subtraction and multiplication, but rarely any math more advanced than that.
On the negative side, the author's manner of explaining things is pretty unclear. Whenever he tries to explain complex matters, even though it is hard, he could try better.
Ces commentaires ont-ils été utiles ? Dites-le-nous