Big Data Application Architecture Q&A

Name: Big Data Application Architecture Q&A
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9781430262923
Price: 187.7 PLN
Availability: InStock

A Problem - Solution Approach to Get an Answer to the Most Important Question, ' How to Select the Best End-to-End Architecture to Solve Your Big Data Problem?'

Autor: Nitin Sawant, Himanshu Shah

Język:

Oprawa: Miękka

Wydawca: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Dostępność: Dostępna u dostawcy

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Big Data Application Architecture Pattern Recipes provides an insight into heterogeneous infrastruct...

Informacje o książce

Autor

Nitin Sawant, Himanshu Shah

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2013

strony

172

EAN

9781430262923

ISBN

1430262923

Enbook ID

05256749

Wydawca

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Waga

324

Wymiary

193 x 235 x 9

Pełny opis

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.

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Big Data Application Architecture Q&A

A Problem - Solution Approach to Get an Answer to the Most Important Question, ' How to Select the Best End-to-End Architecture to Solve Your Big Data Problem?'

Informacje o książce

Pełny opis

Możesz być zainteresowany

Klienci, którzy kupili tę książkę, kupili również