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Big data: principles and best practices of scalable real-time data systems/ Nathan Marz
Material type:
TextLanguage: English Publication details: New Delhi; Manning: 2015.Description: xx, 308 Pg.; ill: 23cmISBN: - 9789351198062
- 005.74 MAR
| Item type | Current library | Call number | Status | Barcode | |
|---|---|---|---|---|---|
| Books | Institute of Public Enterprise, Library S Campus | 005.74 MAR (Browse shelf(Opens below)) | Available | 50471 | |
| Books | Institute of Public Enterprise, Library S Campus | 005.74 MAR (Browse shelf(Opens below)) | Available | 50472 | |
| Books | Institute of Public Enterprise, Library S Campus | 005.74 MAR (Browse shelf(Opens below)) | Available | 50473 | |
| Books | Institute of Public Enterprise, Library S Campus | 005.74 MAR (Browse shelf(Opens below)) | Available | 50474 | |
| Books | Institute of Public Enterprise, Library S Campus | 005.74 MAR (Browse shelf(Opens below)) | Available | 49761 |
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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