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Building Batch Data Pipelines on GCP auf Deutsch
Datenpipelines folgen in der Regel dem Muster Extrahieren und Laden (EL), Extrahieren, Laden und Transformieren (ELT) oder Extrahieren, Transformieren und Laden (ETL). Im Kurs wird beschrieben, welcher Ansatz in welcher Situation für Batchdaten geeignet ist. Außerdem werden verschiedene Technologien der Google Cloud Platform zur Datentransformation behandelt, wie BigQuery, das Ausführen von Spark in Cloud Dataproc, Pipelinediagramme in Cloud Data Fusion und die serverlose Datenverarbeitung mit Cloud Dataflow. In Qwiklabs erstellen die Kursteilnehmer dann selbst Komponenten einer Datenpipeline 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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