Fast data with the KISSS stack
"Bas Geerdink (Aizonic) presents an architecture for streaming analytics solutions that covers many use cases that follow this pattern: actionable insights, fraud detection, log parsing, traffic analysis, factory data, the IoT, and others. He explores a few architecture challenges that arise wh...
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| Format: | Online Video |
| Language: | Inglés |
| Published: |
[Place of publication not identified] :
O'Reilly Media
2019.
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| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822828706719 |
| Summary: | "Bas Geerdink (Aizonic) presents an architecture for streaming analytics solutions that covers many use cases that follow this pattern: actionable insights, fraud detection, log parsing, traffic analysis, factory data, the IoT, and others. He explores a few architecture challenges that arise when dealing with streaming data, such as latency issues, event time versus server time, and exactly once processing. The solution is open source and available on GitHub: build on the KISSS stack. This session is from the 2019 O'Reilly Strata Conference in New York, NY."--Resource description page. |
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| Item Description: | Title from title screen (viewed July 23, 2020). |
| Physical Description: | 1 online resource (1 streaming video file (39 min., 33 sec.)) : digital, sound, color |
