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Real time analytics at Uber : bring SQL into everything /
"From determining the most convenient rider pickup points to predicting the fastest routes, Uber uses data-driven analytics to create seamless trip experiences. Uber's analysts and engineers wanted to run real-time analytics with deep learning models. But copying data from one source to an...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Formato: | Electrónico Congresos, conferencias Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly Media,
2019.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Luo, Zhenxiao, |e onscreen presenter. | |
| 245 | 1 | 0 | |a Real time analytics at Uber : |b bring SQL into everything / |c Zhenxiao Luo. |
| 264 | 1 | |a [Place of publication not identified] : |b O'Reilly Media, |c 2019. | |
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| 500 | |a Title from resource description page (Safari, viewed January 31, 2020). | ||
| 511 | 0 | |a Presenter, Zhenxiao Luo. | |
| 520 | |a "From determining the most convenient rider pickup points to predicting the fastest routes, Uber uses data-driven analytics to create seamless trip experiences. Uber's analysts and engineers wanted to run real-time analytics with deep learning models. But copying data from one source to another is pretty expensive. Zhenxiao Luo explains how Uber supports real-time analytics with deep learning on the fly, without any data copying. He starts with the company's big data infrastructure, specifically Hadoop, Spark, and Presto, and discusses how Uber uses Presto as an interactive SQL engine and deployed Hadoop Distributed File System, Pinot, MySQL, and Elasticsearch as storage solutions. He then details how Uber built a Presto Elasticsearch connector from scratch to support real-time analytics on heterogeneous data. He concludes by sharing the company's production experience and roadmap. This session was recorded at the 2019 O'Reilly Strata Data Conference in San Francisco."--Resource description page | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 610 | 2 | 0 | |a Uber (Firm) |
| 610 | 2 | 7 | |a Uber (Firm) |2 fast |0 (OCoLC)fst01995122 |
| 650 | 0 | |a Real-time data processing. | |
| 650 | 0 | |a Data flow computing. | |
| 650 | 0 | |a Data mining. | |
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| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 7 | |a Data flow computing. |2 fast |0 (OCoLC)fst00887940 | |
| 650 | 7 | |a Data mining. |2 fast |0 (OCoLC)fst00887946 | |
| 650 | 7 | |a Real-time data processing. |2 fast |0 (OCoLC)fst01091219 | |
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| 711 | 2 | |a O'Reilly Strata Data Conference |d (2019 : |c San Francisco, Calif.) | |
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