Big data: principles and best practices of scalable real-time data systems/ Nathan Marz

By:

Marz, Nathan

Contributor(s):

Warren, James

Material type: Text

TextLanguage: English Publication details: New Delhi; Manning: 2015.Description: xx, 308 Pg.; ill: 23cmISBN:

9789351198062

Subject(s):

DDC classification:

005.74 MAR

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.

List(s) this item appears in: New Arrivals - May 1st to 31st 2025

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Item type	Current library	Call number	Status	Date due	Barcode
Books	Institute of Public Enterprise, Library S Campus	005.74 MAR (Browse shelf(Opens below))	Available		49761

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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.

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Big data: principles and best practices of scalable real-time data systems/ Nathan Marz

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