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

By: Contributor(s): Material type: TextTextLanguage: 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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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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