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

Byron Ellis

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Descriptions du produit

Présentation de l'éditeur

Construct a robust end-to-end solution for analyzing andvisualizing streaming data

Real-time analytics is the hottest topic in data analyticstoday. In Real-Time Analytics: Techniques to Analyze andVisualize Streaming Data, expert Byron Ellis teaches dataanalysts technologies to build an effective real-time analyticsplatform. This platform can then be used to make sense of theconstantly changing data that is beginning to outpace traditionalbatch-based analysis platforms.

The author is among a very few leading experts in the field. Hehas a prestigious background in research, development, analytics,real-time visualization, and Big Data streaming and is uniquelyqualified to help you explore this revolutionary field. Moving froma description of the overall analytic architecture of real-timeanalytics to using specific tools to obtain targeted results,Real-Time Analytics leverages open source and moderncommercial tools to construct robust, efficient systems that canprovide real-time analysis in a cost-effective manner. The bookincludes:

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

Real-Time Analytics includes in-depth case studies forwebsite 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 differenttechniques. All of the code examples presented in the book, alongwith their related data sets, are available on the companionwebsite.

Quatrième de couverture

A COMPLETE SOLUTION FOR DYNAMIC ANALYSIS OF STREAMING DATA

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 : 1118837916
  • Editeur : Wiley; Édition : 1 (23 juin 2014)
  • Vendu par : Amazon Media EU S.à r.l.
  • Langue : Anglais
  • ASIN: B00JUUZQP0
  • Synthèse vocale : Activée
  • X-Ray :
  • Word Wise: Non activé
  • Classement des meilleures ventes d'Amazon: n°155.247 dans la Boutique Kindle (Voir le Top 100 dans la Boutique Kindle)
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Amazon.com: 4.6 étoiles sur 5  7 commentaires
9 internautes sur 10 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 End-to-End Solution that gets you excited about its applications 1 septembre 2014
Par Dave Robertson - Publié sur Amazon.com
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 
5.0 étoiles sur 5 Awesome Real-Time Analytics roadmap guide. 5 décembre 2014
Par Nicos Kekchidis - Publié sur Amazon.com
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!
6 internautes sur 8 ont trouvé ce commentaire utile 
5.0 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 Amazon.com
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.
1 internautes sur 1 ont trouvé ce commentaire utile 
4.0 étoiles sur 5 Helpful and interesting 3 janvier 2015
Par Anatoly Korzun - Publié sur Amazon.com
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.
3.0 étoiles sur 5 I feel good that I know most of them in this book 20 mars 2015
Par H. Panchagnula - Publié sur Amazon.com
Format:Broché|Achat vérifié
I am working on a SPARK based real time reporting project, I thought I can learn some new techniques, I feel good that I know most of them in this book. Not really useful to me, but it is a good book if you are not already exposed to the domain.
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