To develop an enterprise-grade scalable data pipeline using Azure Data Factory and Synapse Analytics for ingesting, transforming, and analyzing large datasets in a cloud-native environment with automated orchestration and monitoring.
Connect multiple data sources.
Implement transformation workflows.
Load data into Synapse warehouse.
Schedule automated pipeline triggers.
Monitor execution logs.
Optimize query performance.
Implement incremental loading.
Apply data masking techniques.
Test scalability with large datasets.
Document cloud architecture design.
Analyze cost optimization strategies.
Prepare final deployment report.
