Javatpoint Azure Data Factory -

| Feature | Copy Activity | Mapping Data Flow | | :--- | :--- | :--- | | | ELT (Extract, Load, then Transform) | ETL (Transform in flight) or ELT | | Code Required | None. Configuration only. | Spark-based transformation logic (Visual). | | Compute | Uses ADF Integration Runtime. | Uses Apache Spark clusters (Databricks/ADF IR). | | Complexity | Best for moving data or simple flattening. | Best for joins, aggregations, row modifications, pivots. | | Cost | Low for data movement. | Higher due to Spark cluster spin-up time. |

"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" ] javatpoint azure data factory

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