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Building Batch Data Pipelines on GCP en Français
Les pipelines de données s'inscrivent généralement dans le paradigme EL (extraction et chargement), ELT (extraction, chargement et transformation) ou ETL (extraction, transformation et chargement). Ce cours vous indiquera quel paradigme utiliser pour le traitement de données par lot en fonction du contexte. Il vous présentera également plusieurs solutions Google Cloud de transformation des données, y compris BigQuery, l'exécution de Spark sur Dataproc, les graphiques de pipelines dans Cloud Data Fusion et le traitement des données sans serveur avec Dataflow. Les participants mettront en pratique les connaissances qu'ils auront acquises en créant des composants de pipelines de données sur Google Cloud à l'aide de Qwiklabs.
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| Rating | Not enough ratings |
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| Length | 7 weeks |
| Starts | Jun 26 (44 weeks ago) |
| Cost | $49 |
| From | Google Cloud via Coursera |
| Instructor | Google Cloud Training |
| Download Videos | On all desktop and mobile devices |
| Language | French |
| Subjects | IT & Networking Data Science |
| Tags | Cloud Computing Information Technology Data Management |
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| Rating | Not enough ratings |
|---|---|
| Length | 7 weeks |
| Starts | Jun 26 (44 weeks ago) |
| Cost | $49 |
| From | Google Cloud via Coursera |
| Instructor | Google Cloud Training |
| Download Videos | On all desktop and mobile devices |
| Language | French |
| Subjects | IT & Networking Data Science |
| Tags | Cloud Computing Information Technology Data Management |
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