Big Data:Principles and best practices of scalable realtime data systems
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Big Data:Principles and best practices of scalable realtime data systems by Nathan Marz
Offers a new approach to managing data Comprehensive coverage on building Big Data systems Works an example Big Data system to illustrate key concepts
Nathan Marz is an engineer at Twitter. He was previously Lead Engineer at BackType, a marketing intelligence company that was acquired by Twitter in July of 2011. He is the author of two major open source projects: Storm, a distributed realtime computation system, and Cascalog, a tool for processing data on Hadoop. He is a frequent speaker and writes a blog at nathanmarz.com. James Warren is an analytics architect at Storm8 with a background in big data processing, machine learning and scientific computing.
| SKU | Unavailable |
| ISBN 13 | 9781617290343 |
| ISBN 10 | 1617290343 |
| Title | Big Data:Principles and best practices of scalable realtime data systems |
| Author | Nathan Marz |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Manning Publications |
| Year published | 2015-05-07 |
| Number of pages | 328 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |