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Course : Build Batch Data Pipelines on Google Cloud

Official Course: Preparation for Google Cloud Certifications

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

Build Batch Data Pipelines on Google Cloud

Official Course: Preparation for Google Cloud Certifications


New course

In this course, you'll learn how to design and optimize batch data pipelines on Google Cloud using Dataflow and Dataproc Serverless, while ensuring the quality, monitoring, and reliability of your processing workflows.


INTER
IN-HOUSE
CUSTOM

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

Ref. GBD
  1d - 7h00
990 € E.T.




In this course, you'll learn how to design and optimize batch data pipelines on Google Cloud using Dataflow and Dataproc Serverless, while ensuring the quality, monitoring, and reliability of your processing workflows.


Teaching objectives
At the end of the training, the participant will be able to:
Determine whether batch data pipelines are suitable for your use case.
Design scalable batch pipelines to process large volumes of data.
Implement data quality controls to ensure data integrity.
Orchestrate, manage, and monitor batch pipelines, including error handling and monitoring.

Intended audience
Data engineers, data analysts.

Prerequisites
Basic knowledge of data warehousing and ETL/ELT, proficiency in SQL, programming skills (Python recommended), and familiarity with the GCloud CLI, the console, and the main Google Cloud services.

Course schedule

1
When to Choose Batch Pipelines

  • Understanding the role of a data engineer.
  • Understand the role of the components.
  • Understanding the role and lifecycle of batch pipelines.
Hands-on work
Practice Description: Use Cases for Batch Pipelines, Processing, and Common Challenges.

2
Designing and Building Batch Pipelines

  • Design of batch pipelines.
  • Large-scale data processing.
  • Dataflow and Serverless for Apache Spark.
  • Data Connections and Orchestration.
  • Running Apache Spark pipelines.
  • Performance Optimization.
Hands-on work
Batch pipeline with Serverless for Apache Spark, batch pipeline with Dataflow Job Builder.

3
Orchestrate and oversee the pipelines

  • Orchestration of batch processing.
  • Cloud Composer.
  • Observability and monitoring.
  • Alerts and Troubleshooting.
  • Visual pipeline management.
Hands-on work
Batch pipeline with Serverless for Apache Spark, batch pipeline with Dataflow Job Builder

4
Check Data Quality

  • Data validation and cleaning.
  • Error analysis (logs).
  • Changes in Schemas.
  • Integrity and deduplication.
Hands-on work
Data Quality Validation.



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 : 9 Dec.

2027 : 18 Mar., 23 June, 30 Sep., 2 Dec.

PARIS LA DÉFENSE
2027 : 18 Mar., 23 June, 30 Sep., 2 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.