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Azure Data Engineering: Complete Guide to Cloud Data Pipelines and Analytics

aravind
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/
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