Big data application architecture Q & A a problem-solution approach

Big Data Application Architecture Pattern Recipes provides an insight into heterogeneous infrastructures, databases, and visualization and analytics tools used for realizing the architectures of big data solutions. Its problem-solution approach helps in selecting the right architecture to solve the...

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1. Verfasser: Sawant, Nitin (VerfasserIn)
Weitere Verfasser: Shah, Himanshu (MitwirkendeR)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: [New York] Apress 2013
[New York] Distributed by Springer Science+Business Media New York 2013
Schriftenreihe:The expert's voice in big data
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series2 The expert's voice in big data
spelling Sawant, Nitin VerfasserIn aut
Big data application architecture Q & A a problem-solution approach Nitin Sawant, Himanshu Shah
[New York] Apress 2013
[New York] Distributed by Springer Science+Business Media New York 2013
1 online resource (1 volume) illustrations
Text txt rdacontent
Computermedien c rdamedia
Online-Ressource cr rdacarrier
The expert's voice in big data
Includes bibliographical references and index. - Online resource; title from title page (Safari, viewed February 10, 2014)
Big Data Application Architecture Pattern Recipes provides an insight into heterogeneous infrastructures, databases, and visualization and analytics tools used for realizing the architectures of big data solutions. Its problem-solution approach helps in selecting the right architecture to solve the problem at hand. In the process of reading through these problems, you will learn harness the power of new big data opportunities which various enterprises use to attain real-time profits. Big Data Application Architecture Pattern Recipes answers one of the most critical questions of this time 'how do you select the best end-to-end architecture to solve your big data problem?'. The book deals with various mission critical problems encountered by solution architects, consultants, and software architects while dealing with the myriad options available for implementing a typical solution, trying to extract insight from huge volumes of data in real-time and across multiple relational and non-relational data types for clients from industries like retail, telecommunication, banking, and insurance. The patterns in this book provide the strong architectural foundation required to launch your next big data application. The architectures for realizing these opportunities are based on relatively less expensive and heterogeneous infrastructures compared to the traditional monolithic and hugely expensive options that exist currently. This book describes and evaluates the benefits of heterogeneity which brings with it multiple options of solving the same problem, evaluation of trade-offs and validation of 'fitness-for-purpose' of the solution.
English.
Big data
Software architecture
Data mining
Data Mining
Données volumineuses
Architecture logicielle
Exploration de données (Informatique)
COMPUTERS ; Computer Literacy
COMPUTERS ; Computer Science
COMPUTERS ; Data Processing
COMPUTERS ; Hardware ; General
COMPUTERS ; Information Technology
COMPUTERS ; Machine Theory
COMPUTERS ; Reference
Shah, Himanshu MitwirkendeR ctb
9781430262923
Erscheint auch als Druck-Ausgabe 9781430262923
TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781430262923/?ar X:ORHE Aggregator lizenzpflichtig Volltext
spellingShingle Sawant, Nitin
Big data application architecture Q & A a problem-solution approach
Big data
Software architecture
Data mining
Data Mining
Données volumineuses
Architecture logicielle
Exploration de données (Informatique)
COMPUTERS ; Computer Literacy
COMPUTERS ; Computer Science
COMPUTERS ; Data Processing
COMPUTERS ; Hardware ; General
COMPUTERS ; Information Technology
COMPUTERS ; Machine Theory
COMPUTERS ; Reference
title Big data application architecture Q & A a problem-solution approach
title_auth Big data application architecture Q & A a problem-solution approach
title_exact_search Big data application architecture Q & A a problem-solution approach
title_full Big data application architecture Q & A a problem-solution approach Nitin Sawant, Himanshu Shah
title_fullStr Big data application architecture Q & A a problem-solution approach Nitin Sawant, Himanshu Shah
title_full_unstemmed Big data application architecture Q & A a problem-solution approach Nitin Sawant, Himanshu Shah
title_short Big data application architecture Q & A
title_sort big data application architecture q a a problem solution approach
title_sub a problem-solution approach
topic Big data
Software architecture
Data mining
Data Mining
Données volumineuses
Architecture logicielle
Exploration de données (Informatique)
COMPUTERS ; Computer Literacy
COMPUTERS ; Computer Science
COMPUTERS ; Data Processing
COMPUTERS ; Hardware ; General
COMPUTERS ; Information Technology
COMPUTERS ; Machine Theory
COMPUTERS ; Reference
topic_facet Big data
Software architecture
Data mining
Data Mining
Données volumineuses
Architecture logicielle
Exploration de données (Informatique)
COMPUTERS ; Computer Literacy
COMPUTERS ; Computer Science
COMPUTERS ; Data Processing
COMPUTERS ; Hardware ; General
COMPUTERS ; Information Technology
COMPUTERS ; Machine Theory
COMPUTERS ; Reference
url https://learning.oreilly.com/library/view/-/9781430262923/?ar
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AT shahhimanshu bigdataapplicationarchitectureqaaproblemsolutionapproach