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In this scenario, you want to delete original files on Azure Blob Storage and copy data from Azure SQL Database to Azure Blob Storage on an hourly schedulefor 30 days. You will do this execution twice on different pipelines for each run. The execution time of these two pipelines is overlapping.
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In this scenario, you want to delete original files on Azure Blob Storage and copy data from Azure SQL Database to Azure Blob Storage on an hourly schedule. We'll calculate the price for 30 days. You'll do this execution twice on different pipelines for each run. The execution time of these two pipelines is overlapping.
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The prices used in this example below are hypothetical and are not intended to imply exact actual pricing. Read/write and monitoring costs are not shown since they are typically negligible and will not impact overall costs significantly. Activity runs are also rounded to the nearest 1000 in pricing calculator estimates.
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The prices used in this example below are hypothetical and aren't intended to imply exact actual pricing. Read/write and monitoring costs aren't shown since they're typically negligible and won't impact overall costs significantly. Activity runs are also rounded to the nearest 1000 in pricing calculator estimates.
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Refer to the [Azure Pricing Calculator](https://azure.microsoft.com/pricing/calculator/) for more specific scenarios and to estimate your future costs to use the service.
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@@ -34,7 +34,7 @@ To accomplish the scenario, you need to create two pipelines with the following
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|**Operations**|**Types and Units**|
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| --- | --- |
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| Run Pipeline | 6 Activity runs per execution (2 for trigger run, 4 for activity runs) |
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| Execute Delete Activity: each execution time = 5 min. If the Delete Activity execution in first pipeline is from 10:00 AM UTC to 10:05 AM UTC and the Delete Activity execution in second pipeline is from 10:02 AM UTC to 10:07 AM UTC.|Total 7 min pipeline activity execution in Managed VNET. Pipeline activity supports up to 50 concurrency in Managed VNET. There is a 60 minutes Time To Live (TTL) for pipeline activity|
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| Execute Delete Activity: each execution time = 5 min. If the Delete Activity execution in first pipeline is from 10:00 AM UTC to 10:05 AM UTC and the Delete Activity execution in second pipeline is from 10:02 AM UTC to 10:07 AM UTC.|Total 7 min pipeline activity execution in Managed VNET. Pipeline activity supports up to 50 concurrency in Managed VNET. There's a 60 minutes Time To Live (TTL) for pipeline activity|
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| Copy Data Assumption: each execution time = 10 min if the Copy execution in first pipeline is from 10:06 AM UTC to 10:15 AM UTC and the Copy Activity execution in second pipeline is from 10:08 AM UTC to 10:17 AM UTC. | 10 * 4 Azure Integration Runtime (default DIU setting = 4) For more information on data integration units and optimizing copy performance, see [this article](copy-activity-performance.md)|
In this scenario, you want to get delta changes from 1 table in SAP ECC via SAP CDC connector, do a few necessary transforms in flight, and then write data to Azure Data Lake Gen2 storage in ADF mapping dataflow daily.
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In this scenario, you want to get delta changes from one table in SAP ECC via SAP CDC connector, do a few necessary transforms in flight, and then write data to Azure Data Lake Gen2 storage in ADF mapping dataflow daily.
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The prices used in this example below are hypothetical and are not intended to imply exact actual pricing. Read/write and monitoring costs are not shown since they are typically negligible and will not impact overall costs significantly. Activity runs are also rounded to the nearest 1000 in pricing calculator estimates.
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The prices used in this example below are hypothetical and aren't intended to imply exact actual pricing. Read/write and monitoring costs aren't shown since they're typically negligible and won't impact overall costs significantly. Activity runs are also rounded to the nearest 1000 in pricing calculator estimates.
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Refer to the [Azure Pricing Calculator](https://azure.microsoft.com/pricing/calculator/) for more specific scenarios and to estimate your future costs to use the service.
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## Costs estimation
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In order to load data from SAP ECC via SAP CDC connector in Mapping Data Flow, you need to install your Self-Hosted Integration Runtime on an on-premise machine or VM to directly connect to your SAP ECC system. Given that, you will be charged on both Self-Hosted Integration Runtime with $0.10/hour and Mapping Data Flow with its vCore-hour price unit.
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In order to load data from SAP ECC via SAP CDC connector in Mapping Data Flow, you need to install your Self-Hosted Integration Runtime on an on-premise machine, or VM to directly connect to your SAP ECC system. Given that, you'll be charged on both Self-Hosted Integration Runtime with $0.10/hour and Mapping Data Flow with its vCore-hour price unit.
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Assuming every time it requires 15 minutes to complete the job, the cost estimations are as below.
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In this scenario, you want to copy data from AWS S3 to Azure Blob storage on an hourly schedule for 8 hours per day, for 30 days.
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The prices used in this example below are hypothetical and are not intended to imply exact actual pricing. Read/write and monitoring costs are not shown since they are typically negligible and will not impact overall costs significantly. Activity runs are also rounded to the nearest 1000 in pricing calculator estimates.
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The prices used in this example below are hypothetical and aren't intended to imply exact actual pricing. Read/write and monitoring costs aren't shown since they're typically negligible and won't impact overall costs significantly. Activity runs are also rounded to the nearest 1000 in pricing calculator estimates.
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Refer to the [Azure Pricing Calculator](https://azure.microsoft.com/pricing/calculator/) for more specific scenarios and to estimate your future costs to use the service.
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## Configuration
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To accomplish the scenario, you need to create a pipeline with the following items:
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1. I will copy data from AWS S3 to Azure Blob storage, and this will move 10GB of data from S3 to blob storage. I estimate it will run for 2-3 hours, and I plan to set DIU as Auto.
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1. I'll copy data from AWS S3 to Azure Blob storage, and this will move 10 GB of data from S3 to blob storage. I estimate it will run for 2-3 hours, and I plan to set DIU as Auto.
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3. A schedule trigger to execute the pipeline every hour for 8 hours every day.
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:::image type="content" source="media/pricing-concepts/scenario1.png" alt-text="Diagram shows a pipeline with a schedule trigger. In the pipeline, copy activity flows to an input dataset, which flows to an A W S S3 linked service and copy activity also flows to an output dataset, which flows to an Azure Storage linked service.":::
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:::image type="content" source="media/pricing-concepts/scenario1.png" alt-text="Diagram shows a pipeline with a schedule trigger.":::
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## Costs estimation
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|**Operations**|**Types and Units**|
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| --- | --- |
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| Run Pipeline | 2 Activity runs per execution (1 for the trigger to run, 1 for activity to run) |
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| Copy Data Assumption: execution hours **per run**| .5 hours \* 4 Azure Integration Runtime (default DIU setting = 4) For more information on data integration units and optimizing copy performance, see [this article](copy-activity-performance.md)|
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| Copy Data Assumption: execution hours **per run**|0.5 hours \* 4 Azure Integration Runtime (default DIU setting = 4) For more information on data integration units and optimizing copy performance, see [this article](copy-activity-performance.md)|
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| Total execution hours: 8 runs per day for 30 days | 240 runs * 2 DIU/run = 480 DIUs |
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