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In this scenario, you want to copy data from AWS S3 to Azure Blob storage and transform the data with Azure Databricks on an hourly schedule for 30 days.
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In this scenario, you want to copy data from AWS S3 to Azure Blob storage and transform the data with Azure Databricks 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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@@ -34,13 +34,13 @@ To accomplish the scenario, you need to create a pipeline with the following ite
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|**Operations**|**Types and Units**|
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| --- | --- |
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| Run Pipeline | 3 Activity runs per execution (1 for trigger run, 2 for activity runs) |
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| Copy Data Assumption: execution time per run = 10 min | 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)|
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| Execute Databricks activity Assumption: execution time per run = 10 min | 10 min External Pipeline Activity Execution |
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| Run Pipeline | 3 Activity runs **per execution** (1 for trigger run, 2 for activity runs) = 720 activity runs, rounded up since the calculator only allows increments of 1000.|
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| Copy Data Assumption: DIU hours **per execution** = 10 min | 10 min \ 60 min\* 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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| Execute Databricks activity Assumption: external execution hours **per execution** = 10 min | 10 min \ 60 min External Pipeline Activity Execution |
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## Pricing calculator example
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**Total scenario pricing for 30 days: $122.03**
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**Total scenario pricing for 30 days: $41.01**
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:::image type="content" source="media/pricing-concepts/scenario-2-pricing-calculator.png" alt-text="Screenshot of the pricing calculator configured for a copy data and transform with Azure Databricks scenario." lightbox="media/pricing-concepts/scenario-2-pricing-calculator.png":::
In this scenario, you want to copy data from AWS S3 to Azure Blob storage and transform with Azure Databricks (with dynamic parameters in the script) on an hourly schedule.
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In this scenario, you want to copy data from AWS S3 to Azure Blob storage and transform with Azure Databricks (with dynamic parameters in the script) on an hourly schedule for 8 hours each day over 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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- One copy activity with an input dataset for the data to be copied from AWS S3, an output dataset for the data on Azure storage.
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- One Lookup activity for passing parameters dynamically to the transformation script.
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- One Azure Databricks activity for the data transformation.
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- One schedule trigger to execute the pipeline every hour. When you want to run a pipeline, you can either [trigger it immediately or schedule it](concepts-pipeline-execution-triggers.md). In addition to the pipeline itself, each trigger instance counts as a single Activity run.
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- One schedule trigger to execute the pipeline every hour for 8 hours per day. When you want to run a pipeline, you can either [trigger it immediately or schedule it](concepts-pipeline-execution-triggers.md). In addition to the pipeline itself, each trigger instance counts as a single Activity run.
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:::image type="content" source="media/pricing-concepts/scenario3.png" alt-text="Diagram shows a pipeline with a schedule trigger. In the pipeline, copy activity flows to an input dataset, an output dataset, and lookup activity that flows to a DataBricks activity, which runs on Azure Databricks. The input dataset flows to an AWS S3 linked service. The output dataset flows to an Azure Storage linked service.":::
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## Costs estimation
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|**Operations**|**Types and Units**|
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| --- | --- |
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| Run Pipeline | 4 Activity runs per execution (1 for trigger run, 3 for activity runs) |
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| Copy Data Assumption: execution time per run = 10 min | 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)|
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| Execute Lookup activity Assumption: execution time per run = 1 min | 1 min Pipeline Activity execution |
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| Execute Databricks activity Assumption: execution time per run = 10 min | 10 min External Pipeline Activity execution |
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| Run Pipeline | 4 Activity runs **per execution** (1 for trigger run, 3 for activity runs) = 960 activity runs, rounded up since the calculator only allows increments of 1000.|
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| Copy Data Assumption: DIU hours **per execution** = 10 min | 10 min \ 60 min\* 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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| Execute Lookup activity Assumption: pipeline activity hours **per execution** = 1 min | 1 min / 60 min Pipeline Activity execution |
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| Execute Databricks activity Assumption: external execution hours **per execution** = 10 min | 10 min / 60 min External Pipeline Activity execution |
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## Pricing example: Pricing calculator example
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**Total scenario pricing for 30 days: $122.09**
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**Total scenario pricing for 30 days: $41.03**
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:::image type="content" source="media/pricing-concepts/scenario-3-pricing-calculator.png" alt-text="Screenshot of the pricing calculator configured for a copy data and transform with dynamic parameters scenario." lightbox="media/pricing-concepts/scenario-3-pricing-calculator.png":::
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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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 for 8 hours per day. 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 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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|**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'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)|
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| Run Pipeline | 6 Activity runs **per execution** (2 for trigger runs, 4 for activity runs) = 1440, rounded up since the calculator only allows increments of 1000.|
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| Execute Delete Activity: pipeline execution time **per execution** = 7 min. If the Delete Activity execution in the 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 / 60 min \* 240 montly executions = 28 pipeline activity execution hours in Managed VNET. Pipeline activity supports up to 50 concurrent executions in Managed VNET. There's a 60 minutes Time To Live (TTL) for pipeline activity. |
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| Copy Data Assumption: DIU execution time **per execution**= 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 min \ 60 min * 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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## Pricing calculator example
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**Total scenario pricing for 30 days: $129.02**
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**Total scenario pricing for 30 days: $42.14**
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:::image type="content" source="media/pricing-concepts/scenario-5-pricing-calculator.png" alt-text="Screenshot of the pricing calculator configured for data integration with Managed VNET." lightbox="media/pricing-concepts/scenario-5-pricing-calculator.png":::
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