Big Data: Principles and best practices of scalable realtime data systems

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Summary

Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built.
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Building a BeagleBone Black Super Cluster

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Build and configure your own parallel computing Beowulf cluster using BeagleBone Black ARM systems

About This BookConfigure your own cluster for high speed parallel computingBenefit from your personally configured super computer which is a power efficient, low-cost, and highly scalable super computerWrite your own cluster software with the help of practical examples using powerful computational libraries specifically designed for distributed memory machines
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BOINC: Hochleistungsrechnen mit Berkeley Open Infrastructure for Network Computing (Xpert.press) (German Edition)

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Mit BOINC können komplexe und rechenintensive Probleme im Sinne des Public Resource Computing gelöst werden: Freiwillige melden sich bei einem BOINC-Projekt an und stellen ihre Rechnerressourcen zur Verfügung. Der Autor erläutert die einzelnen Entwicklungsschritte, so dass ein voll funktionsfähiges BOINC-Projekt erstellt und effizient gewartet werden kann. Komplexe Zusammenhänge werden anhand der Unified Modeling Language (UML) veranschaulicht. Mit detaillierten Beschreibungen der Programmierschnittstelle und praxisnahen Fallbeispielen.

Raspberry Pi Super Cluster

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In Detail

A cluster is a type of parallel/distributed processing system which consists of a collection of interconnected stand-alone computers cooperatively working together. Using Raspberry Pi computers, you can build a two-node parallel computing cluster which enhances performance and availability.
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