Microsoft Azure - Data Factory
Completed by Himanshu Upadhyay
November 6, 2025
9 hours (approximately)
Himanshu Upadhyay's account is verified. Coursera certifies their successful completion of Microsoft Azure - Data Factory
What you will learn
Design and deploy end-to-end data pipelines using Azure Data Factory, datasets, copy activities, and triggers.
Design and deploy end-to-end data pipelines using Azure Data Factory, datasets, copy activities, and triggers.
Integrate Azure Data Lake and build scalable workflows using dynamic datasets, parameters, and input validation.
Design scalable pipelines by integrating Azure Data Lake, configuring dynamic datasets, and validating pipeline inputs.
Skills you will gain
- Category: Debugging
- Category: Cloud-Based Integration
- Category: Cloud Storage
- Category: Process Optimization
- Category: Scheduling
- Category: Data Pipelines
- Category: Performance Metric
- Category: Microsoft Azure
- Category: Data Integrity
- Category: Design
- Category: Performance Analysis
- Category: Data Storage

