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Course : Build Streaming Data Pipelines on Google Cloud

Official Course: Preparation for Google Cloud Certifications

Practical course - 1d - 7h00 - Ref. GS0
Price : 990 € E.T.

Build Streaming Data Pipelines on Google Cloud

Official Course: Preparation for Google Cloud Certifications


New course

In this course, you'll learn how to create and manage streaming data pipelines on Google Cloud. You'll work with real-time data and use tools such as Pub/Sub, Dataflow, and BigQuery through hands-on, real-world exercises.


INTER
IN-HOUSE
CUSTOM

Practical course in person or remote class
Disponible en anglais, à la demande

Ref. GS0
  1d - 7h00
990 € E.T.




In this course, you'll learn how to create and manage streaming data pipelines on Google Cloud. You'll work with real-time data and use tools such as Pub/Sub, Dataflow, and BigQuery through hands-on, real-world exercises.


Teaching objectives
At the end of the training, the participant will be able to:
Understand the concepts and challenges of streaming data pipelines.
Ingest and manage data in real time with Pub/Sub and Kafka.
Build and deploy pipelines with Dataflow.
Implement real-time analytics solutions using BigQuery and Bigtable.
Identify use cases and architectures suitable for streaming (ETL, AI/ML, applications).

Intended audience
Data engineers, data analysts, and data architects who want to work with streaming data on Google Cloud.

Prerequisites
Basic knowledge of Python, SQL, and data engineering, as well as familiarity with Google Cloud, along with a good understanding of written English.

Practical details
Teaching methods
The training session will be conducted in French. Official course materials are available in English and in digital format.

Course schedule

1
Streaming Basics

  • Concepts of streaming data pipelines.
  • Real-Time Issues and Challenges.
  • Role in data engineering.

2
Use Cases and Architectures

  • Streaming ETL.
  • AI/ML Streaming.
  • Real-time applications.
  • Reverse ETL and typical architectures.

3
Deployment on Google Cloud

  • Pub/Sub and Apache Kafka (ingestion).
  • Dataflow (processing).
  • BigQuery and Bigtable (analysis).
  • Pipeline construction and deployment.

4
Summary and Practical Application

  • Summary of Key Concepts.
  • Integration of GCP services.
  • Best Practices for Robust Pipelines.
  • Final Case Study.



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.

Dates and locations
Select your location or opt for the remote class then choose your date.
Remote class

Dernières places
Date garantie en présentiel ou à distance
Session garantie

REMOTE CLASS
2026 : 11 Dec.

2027 : 30 Mar., 21 June, 2 Sep., 14 Dec.

PARIS LA DÉFENSE
2027 : 30 Mar., 21 June, 2 Sep., 14 Dec.



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.