Rejoindre Se connecter

Mettez en pratique vos compétences dans la console Google Cloud

Nicolas Alvarez

Date d'abonnement : 2025

Ligue d'Or

13130 points
Build a Data Mesh with Dataplex Earned avr. 19, 2025 EDT
Build Streaming Data Pipelines on Google Cloud Earned fév. 24, 2025 EST
Build Batch Data Pipelines on Google Cloud Earned fév. 15, 2025 EST
Build Data Lakes and Data Warehouses on Google Cloud Earned fév. 5, 2025 EST
Introduction to Data Engineering on Google Cloud Earned jan. 31, 2025 EST
Preparing for your Professional Data Engineer Journey Earned jan. 31, 2025 EST

Complete the introductory Build a Data Mesh with Dataplex skill badge to demonstrate skills in the following: building a data mesh with Dataplex to facilitate data security, governance, and discovery on Google Cloud. You practice and test your skills in tagging assets, assigning IAM roles, and assessing data quality in Dataplex.

En savoir plus

In this course you will get hands-on in order to work through real-world challenges faced when building streaming data pipelines. The primary focus is on managing continuous, unbounded data with Google Cloud products.

En savoir plus

In this intermediate course, you will learn to design, build, and optimize robust batch data pipelines on Google Cloud. Moving beyond fundamental data handling, you will explore large-scale data transformations and efficient workflow orchestration, essential for timely business intelligence and critical reporting. Get hands-on practice using Dataflow for Apache Beam and Serverless for Apache Spark (Dataproc Serverless) for implementation, and tackle crucial considerations for data quality, monitoring, and alerting to ensure pipeline reliability and operational excellence. A basic knowledge of data warehousing, ETL/ELT, SQL, Python, and Google Cloud concepts is recommended.

En savoir plus

While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.

En savoir plus

In this course, you learn about data engineering on Google Cloud, the roles and responsibilities of data engineers, and how those map to offerings provided by Google Cloud. You also learn about ways to address data engineering challenges.

En savoir plus

This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.

En savoir plus