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Modernizing Data Lakes and Data Warehouses with GCP auf Deutsch
Die zwei wichtigsten Komponenten jeder Datenpipeline sind Data Lakes und Data Warehouses. In diesem Kurs werden Anwendungsfälle für beide Speicherarten vorgestellt. Außerdem wird eine technisch detaillierte Einteilung der Data-Lake- und Data-Warehouse-Lösungen vorgenommen, die in der Google Cloud Platform verfügbar sind. Im Kurs wird auch erläutert, welche Aufgaben ein Data Engineer hat, wie eine erfolgreiche Datenpipeline Geschäftsvorgänge unterstützt und warum Data Engineering in einer Cloud-Umgebung stattfinden sollte. Mithilfe von Qwiklabs arbeiten die Kursteilnehmer dann selbst mit Data Lakes und Data Warehouses in der Google Cloud Platform.
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| Rating | Not enough ratings |
|---|---|
| Length | 3 weeks |
| Starts | Oct 19 (187 weeks ago) |
| Cost | $49 |
| From | Google Cloud via Coursera |
| Instructor | Google Cloud Training |
| Download Videos | On all desktop and mobile devices |
| Language | German |
| Subjects | IT & Networking Data Science |
| Tags | Cloud Computing Information Technology Data Management |
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| Rating | Not enough ratings |
|---|---|
| Length | 3 weeks |
| Starts | Oct 19 (187 weeks ago) |
| Cost | $49 |
| From | Google Cloud via Coursera |
| Instructor | Google Cloud Training |
| Download Videos | On all desktop and mobile devices |
| Language | German |
| Subjects | IT & Networking Data Science |
| Tags | Cloud Computing Information Technology Data Management |
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