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Fixing up some images
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articles/storage/blobs/data-lake-storage-migrate-gen1-to-gen2.md

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@@ -118,16 +118,19 @@ Let's take a closer look at each pattern.
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This is the simplest pattern.
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:one:    Stop all writes to Gen1.
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1. Stop all writes to Gen1.
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:two:    Move data from Gen1 to Gen2.
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2. Move data from Gen1 to Gen2.
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:three:    Point ingest operations and workloads to Gen2.
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3. Point ingest operations and workloads to Gen2.
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:four:    Decommission Gen1.
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4. Decommission Gen1.
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![lift and shift pattern](./media/data-lake-storage-migrate-gen1-to-gen2/lift-and-shift.png)
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> [!TIP]
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> For data transfer, we recommend [Azure Data Factory](https://docs.microsoft.com/azure/data-factory/connector-azure-data-lake-storage). ACLs copy with the data.
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#### Considerations for using this pattern:
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- Cutover from Gen1 to Gen2 for all workloads at the same time.
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- Ideal for pipelines that can afford downtime and all apps can be upgraded at one time.
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> [!TIP]
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> For data transfer, we recommend [Azure Data Factory](https://docs.microsoft.com/azure/data-factory/connector-azure-data-lake-storage). ACLs copy with the data.
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### Incremental copy pattern
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:one:    Start moving data from Gen1 to Gen2.
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![Incremental copy pattern](./media/data-lake-storage-migrate-gen1-to-gen2/incremental-copy.png)
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> [!TIP]
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> For data transfer, we recommend [Azure Data Factory](https://docs.microsoft.com/azure/data-factory/connector-azure-data-lake-storage). ACLs copy with the data.
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#### Considerations for using this pattern:
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- Cutover from Gen1 to Gen2 for all workloads at the same time.
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- Ideal for pipelines where all apps upgraded at one time, but the data copy requires more time.
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> [!TIP]
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> For data transfer, we recommend [Azure Data Factory](https://docs.microsoft.com/azure/data-factory/connector-azure-data-lake-storage). ACLs copy with the data.
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### Dual pipeline pattern
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:one:    Move data from Gen1 to Gen2.
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![Dual pipeline pattern](./media/data-lake-storage-migrate-gen1-to-gen2/dual-pipeline.png)
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> [!TIP]
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> For data transfer, we recommend [Azure Data Factory](https://docs.microsoft.com/azure/data-factory/connector-azure-data-lake-storage). ACLs copy with the data.
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#### Considerations for using this pattern:
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- Gen1 and Gen2 pipelines run side-by-side.
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- Ideal in situations where your workloads and applications can't afford any downtime, and you can ingest into both storage accounts.
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> [!TIP]
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> For data transfer, we recommend [Azure Data Factory](https://docs.microsoft.com/azure/data-factory/connector-azure-data-lake-storage). ACLs copy with the data.
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### Bi-directional sync pattern
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This pattern is similar to the *dual pipeline* pattern, but it's more ideally suited for complicated pipelines that require Gen1 and Gen2 side-by-side support during migration.
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![Bidirectional pattern](./media/data-lake-storage-migrate-gen1-to-gen2/bidirectional-sync.png)
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> [!TIP]
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> For bidirectional data transfer, we recommend [WanDisco](https://docs.wandisco.com/bigdata/wdfusion/adls/). It offers a repair feature for existing data.
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#### Considerations for using this pattern:
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- Ideal for complex scenarios that involve a large number of pipelines and dependencies where a phased approach might make more sense.
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- Migration effort is high, but it provides side-by-side support for Gen1 and Gen2.
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> [!TIP]
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> For bidirectional data transfer, we recommend [WanDisco](https://docs.wandisco.com/bigdata/wdfusion/adls/). It offers a repair feature for existing data.
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## Next steps
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- Learn about the various parts of setting up security for a storage account. See [Azure Storage security guide](../common/storage-security-guide.md).
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