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articles/data-factory/connector-overview.md

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ms.subservice: data-movement
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ms.custom: synapse
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ms.topic: conceptual
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ms.date: 01/09/2024
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ms.date: 11/05/2024
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ms.author: jianleishen
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---
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- [Common Data Model format](format-common-data-model.md)
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- [Delimited text format](format-delimited-text.md)
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- [Delta format](format-delta.md)
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- [Iceberg format](format-iceberg.md)
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- [Excel format](format-excel.md)
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- [JSON format](format-json.md)
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- [ORC format](format-orc.md)

articles/data-factory/copy-activity-overview.md

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ms.subservice: data-movement
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ms.topic: conceptual
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ms.date: 08/02/2024
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ms.date: 11/05/2024
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## Supported data stores and formats
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[!INCLUDE [data-factory-v2-supported-data-stores](includes/data-factory-v2-supported-data-stores.md)]
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Azure Data Factory supports the following file formats. Refer to each article for format-based settings.
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- [Avro format](format-avro.md)
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- [Binary format](format-binary.md)
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- [Delimited text format](format-delimited-text.md)
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- [Excel format](format-excel.md)
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- [Iceberg format](format-iceberg.md) (only for Azure Data Lake Storage Gen2)
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- [JSON format](format-json.md)
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- [ORC format](format-orc.md)
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- [Parquet format](format-parquet.md)
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- [XML format](format-xml.md)
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### Supported file formats
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articles/data-factory/format-iceberg.md

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- [Azure Data Lake Storage Gen2](connector-azure-data-lake-storage.md)
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You can use Iceberg dataset in [Copy activity](copy-activity-overview.md).
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## Dataset properties
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For a full list of sections and properties available for defining datasets, see the [Datasets](concepts-datasets-linked-services.md) article. This section provides a list of properties supported by the Iceberg format dataset.
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"referenceName": "<Azure Data Lake Storage Gen2 linked service name>",
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"type": "LinkedServiceReference"
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},
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"schema": [ < physical schema, optional, retrievable during authoring >
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"schema": [ < physical schema, optional, auto retrieved during authoring >
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],
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"typeProperties": {
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"location": {

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