Realtime Analytics at Twitter
Most analytics systems rely on large offline computations, which means results take hours or days. Twitter is all about realtime, but with over 160 million users producing over 90 million tweets per day, we need realtime analytics that scale horizontally. This talk discusses the development of that...
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| Language: | Inglés |
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O'Reilly Media, Inc
2011.
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| Edition: | 1st edition |
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| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629105206719 |
| Summary: | Most analytics systems rely on large offline computations, which means results take hours or days. Twitter is all about realtime, but with over 160 million users producing over 90 million tweets per day, we need realtime analytics that scale horizontally. This talk discusses the development of that infrastructure, as well as the products we are beginning to build on top of it. |
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| Item Description: | Title and publication information from title screen (viewed July 25, 2011). |
| Physical Description: | 1 online resource (1 video file, approximately 42 min.) |
