Membro dal giorno 2025
Creazione di pipeline di dati in batch su Google Cloud
Earned dic 27, 2025 EST
Build a Data Warehouse with BigQuery
Earned ott 5, 2025 EDT
Introduction to Data Engineering on Google Cloud
Earned set 8, 2025 EDT
Implement Event-Driven Messaging and Automation Workflows
Earned lug 28, 2025 EDT
Le pipeline di dati in genere rientrano in uno dei paradigmi EL (Extract, Load), ELT (Extract, Load, Transform) o ETL (Extract, Transform, Load). Questo corso descrive quale paradigma dovrebbe essere utilizzato e quando per i dati in batch. Inoltre, questo corso tratta diverse tecnologie su Google Cloud per la trasformazione dei dati, tra cui BigQuery, l'esecuzione di Spark su Dataproc, i grafici della pipeline in Cloud Data Fusion e trattamento dati serverless con Dataflow. Gli studenti fanno esperienza pratica nella creazione di componenti della pipeline di dati su Google Cloud utilizzando Qwiklabs.
Complete the intermediate Build a Data Warehouse with BigQuery skill badge course to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery.
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.
Earn a skill badge by completing the Implement Event-Driven Messaging and Automation Workflows skill badge course, where you learn how to use Pub/Sub through the Cloud console, how Cloud Scheduler jobs can save you effort, and when Pub/Sub Lite can save you money on high-volume event ingestion.