Azure Data Engineering focuses on building reliable systems that collect, transform, store and deliver information.
Data Engineering Lifecycle
1. Data Sources
Databases, APIs, files, applications and IoT devices.
2. Data Ingestion
Moving data into the cloud.
3. Storage
Storing raw and processed information.
4. Transformation
Cleaning and restructuring data.
5. Serving
Makin... https://qualitythought.in/azure-data-engineer-training/
Azure Data Engineering: Complete Guide to Cloud Data Pipelines and Analytics
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