1 option
Fast data with the KISSS stack / Bas Geerdink.
- Format:
- Video
- Author/Creator:
- Geerdink, Bas, on-screen presenter.
- Language:
- English
- Subjects (All):
- Real-time data processing.
- Electronic data processing--Distributed processing.
- Electronic data processing.
- Artificial intelligence.
- Machine learning.
- O'Reilly Strata Data Conference (2019 : New York, New York).
- O'Reilly Strata Data Conference.
- Physical Description:
- 1 online resource (1 streaming video file (39 min., 33 sec.)) : digital, sound, color
- Place of Publication:
- [Place of publication not identified] : O'Reilly Media, 2019.
- 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.
- Participant:
- Presenter, Bas Geerdink.
- Notes:
- Title from title screen (viewed July 23, 2020).
- OCLC:
- 1177146252
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.