Big Data : principles and best practices of scalable real-time data systems / Nathan Marz with James Warren
Inglés
Shelter Island : Manning, 2015 Cop. .— XX,308 p. : graf. ; 23 cm
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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.