Building Production-Ready Data Pipelines in Microsoft Fabric with Python
Детали
### In this 50-minute session, Kasper will show you practical patterns for production data engineering using Fabric notebooks and PySpark.
Kasper will cover:
🔹 Orchestrating multi-notebook workflows and managing credentials
🔹 Processing semi-structured data (JSON, CSV, Excel) at scale
🔹 Building dynamic, parameter-driven pipelines
🔹 Integrating external APIs efficiently with parallel execution
You'll walk away with:
✨ Practical code patterns you can use immediately
✨ Access to the complete code repository with all examples
Speaker:
https://www.linkedin.com/in/kasper-kalfas
RSVP closes one (1) hour prior to the event
Note: New URL to teams meeting http://meetup.fabricusergroup.dk/
Связанные темы
Business Intelligence
Data Analytics
Data Visualization
DAX Power BI
Knowledge Sharing
