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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 Jun 29 (earlier today)
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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Coursera

&

Google Cloud

Rating Not enough ratings
Length 3 weeks
Starts Jun 29 (earlier today)
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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