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Course : Build Data Lakes and Data Warehouses with Google Cloud

Official Course: Preparation for Google Cloud Certifications

Practical course - 1d - 7h00 - Ref. GDL
Price : 990 CHF E.T.

Build Data Lakes and Data Warehouses with Google Cloud

Official Course: Preparation for Google Cloud Certifications


New course

In this course, you'll learn how to compare data architectures (data lake, data warehouse, data lakehouse) and implement a data lakehouse on Google Cloud using BigQuery, while incorporating governance, security, and advanced analytics.


INTER
IN-HOUSE
CUSTOM

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

Ref. GDL
  1d - 7h00
990 CHF E.T.




In this course, you'll learn how to compare data architectures (data lake, data warehouse, data lakehouse) and implement a data lakehouse on Google Cloud using BigQuery, while incorporating governance, security, and advanced analytics.


Teaching objectives
At the end of the training, the participant will be able to:
Compare data lake, data warehouse, and data lakehouse architectures.
Evaluate the benefits of the lakehouse and choose the appropriate architecture.
Build a data lakehouse using Cloud Storage, open formats, and BigQuery.
Modernize data warehouses with BigQuery and BigLake.
Implement data governance and security on a unified platform.

Intended audience
Data engineers, data analysts, data architects.

Prerequisites
Basic knowledge of data engineering, SQL, and programming (Python preferred), as well as familiarity with Google Cloud services, along with a good understanding of 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
Fundamentals of Data Architectures

  • Data lake vs. data warehouse vs. data lakehouse.
  • Use Cases and Architecture Selection.
  • Introduction to Google Cloud Data Services.

2
Building a Data Lake

  • Storage with Cloud Storage.
  • Data formats (Parquet, Avro, JSON).
  • Data organization and ingestion.
  • Introduction to BigLake.

3
Data Warehouse with BigQuery

  • Data modeling.
  • SQL Queries and Performance.
  • Partitioning and clustering.
  • Cost Optimization.

4
Governance, Security, and Operations

  • Data Governance and IAM.
  • Security and Access Management.
  • Monitoring and Optimization.
  • Analytics use cases and pipeline integration.



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

Dernières places
Date garantie en présentiel ou à distance
Session garantie
On 7 December 2026
FR
Remote class
Registration
On 24 March 2027
FR
Remote class
Registration
On 22 June 2027
FR
Remote class
Registration
On 16 September 2027
FR
Remote class
Registration
On 8 December 2027
FR
Remote class
Registration

REMOTE CLASS
2026 : 7 Dec.

2027 : 24 Mar., 22 June, 16 Sep., 8 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.