About this Course

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Flexible deadlines
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Shareable Certificate
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100% online
Start instantly and learn at your own schedule.
Intermediate Level
Approx. 17 hours to complete
French

What you will learn

  • Explorer différentes méthodes de chargement de données (EL, ELT et ETL) et déterminer quand les utiliser

  • Exécuter Hadoop sur Dataproc, exploiter Cloud Storage et optimiser les tâches Dataproc

  • Utiliser Dataflow pour créer vos pipelines de traitement de données

  • Gérer des pipelines de données avec Data Fusion et Cloud Composer

Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level
Approx. 17 hours to complete
French

Offered by

Placeholder

Google Cloud

Syllabus - What you will learn from this course

Week
1
Week 1
1 minute to complete

Présentation

1 minute to complete
1 video (Total 1 min)
Week
2
Week 2
23 minutes to complete

Présentation de la création de pipelines de données par lot

23 minutes to complete
6 videos (Total 21 min)
Week
3
Week 3
2 hours to complete

Exécuter Spark sur Dataproc

2 hours to complete
11 videos (Total 48 min)
Week
4
Week 4
10 hours to complete

Traiter des données sans serveur avec Dataflow

10 hours to complete
14 videos (Total 36 min)

About the Data Engineer, Big Data and ML on Google Cloud en Français Specialization

Data Engineer, Big Data and ML on Google Cloud en Français

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