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Copy job is the go-to solution in Microsoft Fabric Data Factory for simplified data movement, whether you’re moving data across clouds, from on-premises systems, or between services. With native support for multiple delivery styles, including bulk copy, incremental copy, and change data capture (CDC) replication, Copy job offers the flexibility to handle a wide range of data movement scenarios—all through an intuitive, easy-to-use experience.
This update introduces several enhancements related to truncate destination before full copy, full & incremental copy data with database queries and copy multiple folders in one Copy job.
You can now optionally truncate destination data before the full load, ensuring your source and destination are fully synchronized without duplicates.
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By default, Copy job does not delete any data in your destination. When you enable this option:
This approach not only ensures that the your destination remains clean, fully synchronized, and free of duplicates, but also delivers significant performance improvements during full loads, providing a reliable foundation for your data ingestion solution.
You can now copy subsets of data from your tables using database queries, unlocking a wide range of data ingestion scenarios.
More importantly, this feature supports both full and incremental copies on table subsets based on your custom queries, allowing flexible data selection and filtering before loading. This makes your data ingestion more efficient, precise, and tailored to your needs.
Start by trying it with Azure SQL DB — support for more connectors will be added soon.
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You can now copy multiple file objects, including multiple folders or a combination of folders and individual files, in a single Copy job. This makes your development work more efficient, eliminating the need to create multiple Copy jobs to achieve the same result.
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To learn more, explore Microsoft Fabric Copy Job documentation.
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