Azure Data Factory (ADF) is a cloud-based ETL service for data integration, composed of pipelines, activities, datasets, linked services, and integration runtimes, as detailed in Scribd and GeeksforGeeks . The service enables a typical workflow of ingesting, transforming, and publishing data, with monitoring available via Azure Data Factory Studio.
Javatpoint tutorials often highlight these core advantages: javatpoint azure data factory
"name": "CopyFromBlobToSql", "type": "Copy", "typeProperties": "source": "type": "BlobSource", "recursive": true , "sink": "type": "SqlSink", "writeBatchSize": 1000 , "inputs": [ "referenceName": "BlobDataset", "type": "DatasetReference" ], "outputs": [ "referenceName": "SqlDataset", "type": "DatasetReference" ] Azure Data Factory (ADF) is a cloud-based ETL
One of Javatpoint’s strengths is side-by-side comparisons: composed of pipelines