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Turning petabytes of data from millions of vehicles into open data with Geotab /
"Geotab is a world-leading asset-tracking company with millions of vehicles under service every day. Felipe Hoffa (Google) and Bob Bradley (Geotab) examine the challenges and solutions to create an ML- and geographic information system- (GI)S enabled petabyte-scale data warehouse leveraging Goo...
| Clasificación: | Libro Electrónico |
|---|---|
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly Media,
2019.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Hoffa, Felipe, |e on-screen presenter. | |
| 245 | 1 | 0 | |a Turning petabytes of data from millions of vehicles into open data with Geotab / |c Felipe Hoffa, Bob Bradley. |
| 264 | 1 | |a [Place of publication not identified] : |b O'Reilly Media, |c 2019. | |
| 300 | |a 1 online resource (1 streaming video file (38 min., 58 sec.)) | ||
| 336 | |a two-dimensional moving image |b tdi |2 rdacontent | ||
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| 511 | 0 | |a Presenters, Felipe Hoffa, Bob Bradley. | |
| 500 | |a Title from title screen (viewed July 23, 2020). | ||
| 520 | |a "Geotab is a world-leading asset-tracking company with millions of vehicles under service every day. Felipe Hoffa (Google) and Bob Bradley (Geotab) examine the challenges and solutions to create an ML- and geographic information system- (GI)S enabled petabyte-scale data warehouse leveraging Google Cloud. And they dive into the process to publish open, how you can access it, and how cities are using it. They explore the challenge, which was handling petabytes of IoT data from millions of vehicles around the world; the solution, BigQuery and other Google Cloud Platform tools; machine learning and geoanalysis at a petabyte scale; the process to share open data; how cities are using Geotab's shared datasets; and how you can access Geotab's open data too. This session is from the 2019 O'Reilly Strata Conference in New York, NY."--Resource description page | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 611 | 2 | 0 | |a O'Reilly Strata Data Conference |d (2019 : |c New York, N.Y.) |
| 650 | 0 | |a Geographic information systems. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Geodatabases. | |
| 650 | 0 | |a Cloud computing. | |
| 650 | 0 | |a Data warehousing. | |
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Automobiles |x Technological innovations. | |
| 650 | 2 | |a Geographic Information Systems | |
| 650 | 6 | |a Systèmes d'information géographique. | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Infonuagique. | |
| 650 | 6 | |a Entrepôts de données (Informatique) | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 6 | |a Automobiles |x Innovations. | |
| 650 | 7 | |a geographic information systems. |2 aat | |
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| 650 | 7 | |a Big data |2 fast |0 (OCoLC)fst01892965 | |
| 650 | 7 | |a Cloud computing |2 fast |0 (OCoLC)fst01745899 | |
| 650 | 7 | |a Data warehousing |2 fast |0 (OCoLC)fst00888026 | |
| 650 | 7 | |a Geodatabases |2 fast |0 (OCoLC)fst01736057 | |
| 650 | 7 | |a Geographic information systems |2 fast |0 (OCoLC)fst00940423 | |
| 650 | 7 | |a Machine learning |2 fast |0 (OCoLC)fst01004795 | |
| 700 | 1 | |a Bradley, Bob, |e on-screen presenter. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/videos/~/0636920371854/?ar |z Texto completo (Requiere registro previo con correo institucional) |
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