Course

Modernizing Data Lakes and Data Warehouses with GCP en Français

Google Cloud

Modernizing Data Lakes and Data Warehouses with GCP en Français offers a deep dive into the critical components of data pipelines. This course equips learners with an understanding of data lakes and data warehouses, their technical intricacies within the Google Cloud platform, and the pivotal role of data engineers in driving successful data operations.

Throughout the course, participants explore the differences between data lakes and data warehouses, gaining insights into the technical details of storage solutions available on Google Cloud. They also delve into the significance of effective data engineering in a cloud environment, uncovering its impact on business operations and the advantages it brings. The modules cover topics such as collaborating with data teams, managing data access and governance, and creating production-ready pipelines.

  • Gain insights into the technical aspects of data storage solutions on Google Cloud.
  • Understand the pivotal role of data engineers and the impact of successful data pipelines on business operations.
  • Explore the differences between data lakes and data warehouses and their significance in a cloud environment.

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Modernizing Data Lakes and Data Warehouses with GCP en Français
Course Modules

The course modules cover a wide range of topics, including data storage solutions, the role of data engineers, and the technical intricacies of Google Cloud storage options.

Présentation

Modernizing Data Lakes and Data Warehouses with GCP en Français begins with an introduction to the course series, offering an overview of the content. It then delves into the role of data engineers, the challenges associated with data engineering, and the technical details of Google Cloud solutions for data lakes and warehouses.

Présentation de l'ingénierie des données

This module focuses on creating a data lake, covering topics such as data storage options, ETL operations on Google Cloud, and the process of creating a data lake using Cloud Storage. Participants also gain insights into protecting data in Cloud Storage and utilizing Cloud SQL as a relational data lake.

Créer un lac de données

The creation of a data warehouse is the primary focus of this module, with discussions on modern data warehousing, an in-depth look at BigQuery, and practical demonstrations on querying large datasets, loading data, and exploring schema designs.

Créer un entrepôt de données

Participants explore the differences between data lakes and data warehouses, gain insights into the technical details of storage solutions available on Google Cloud, and understand the pivotal role of data engineers and the impact of successful data pipelines on business operations.

Résumé

The course concludes with a summary module, providing a comprehensive overview of the key learnings and insights gained throughout the entire course.

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