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Traitement des données sans serveur avec Dataflow : cours 1

Traitement des données sans serveur avec Dataflow : cours 1

Instructor: Google Cloud Training

Included with

Learn more

6 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

2 hours to complete

Flexible schedule

Learn at your own pace

6 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

2 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Montrer comment répondre aux besoins de traitement des données des organisations en associant Apache Beam et Dataflow
Résumer les avantages du framework de portabilité Beam et l'activer pour les pipelines Dataflow
Activer Shuffle et Streaming Engine pour les pipelines de traitement par lot et de traitement en flux continu, afin d'optimiser les performances
Activer la planification flexible des ressources pour optimiser le coût des performances

Skills you'll gain

Tools you'll learn

Cloud Storage

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments

Taught in French

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There are 6 modules in this course

Ce cours est le premier d'une série en trois volets sur le traitement des données sans serveur avec Dataflow. Dans ce premier cours, nous allons commencer par rappeler ce qu'est Apache Beam et sa relation avec Dataflow. Ensuite, nous aborderons la vision d'Apache Beam et les avantages de son framework de portabilité, qui permet aux développeurs d'utiliser le langage de programmation et le backend d'exécution de leur choix. Nous vous montrerons aussi comment séparer le calcul du stockage et économiser de l'argent grâce à Dataflow, puis nous examinerons les interactions entre les outils de gestion de l'identification et des accès avec vos pipelines Dataflow. Enfin, nous verrons comment implémenter le modèle de sécurité adapté à votre cas d'utilisation sur Dataflow.

Ce module présente le plan du cours et rappelle brièvement le modèle de programmation Apache Beam et le service géré Dataflow de Google.

What's included

2 videos

Dans ce module, nous allons aborder quatre sujets : la portabilité de Beam, l'exécuteur v2, les environnements de conteneurs et les transformations interlangages.

What's included

4 videos1 assignment

Dans ce module, nous allons voir comment séparer le calcul du stockage avec Dataflow. Ce module comporte quatre sections : Dataflow, le service Dataflow Shuffle, Dataflow Streaming Engine et la planification flexible des ressources.

What's included

4 videos1 assignment

Dans ce module, nous allons aborder les différents rôles, quotas et autorisations IAM requis pour exécuter Dataflow.

What's included

2 videos1 assignment

Dans ce module, nous allons voir comment implémenter le modèle de sécurité adapté à votre cas d'utilisation sur Dataflow.

What's included

4 videos1 assignment1 app item

Dans ce cours, nous avons commencé par rappeler ce qu'est Apache Beam et sa relation avec Dataflow.

What's included

1 video1 reading

Instructor

Google Cloud Training

Google Cloud

2,200 Courses4,285,599 learners

Offered by

Google Cloud

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Frequently asked questions

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.