Big data : principles and best practices of scalable real-time data systems / Nathan Marz and James Warren.
"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 b...
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| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Shelter Island, NY :
Manning,
2015.
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| Subjects: |
| 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."--Publisher's website. |
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| Item Description: | Includes index. |
| Physical Description: | xx, 308 pages : illustrations ; 24 cm. |
| ISBN: | 1617290343 9781617290343 |