How to Run a Python ETL Script in Azure Data Factory and Choose the Best Approach?

Question

I'm currently working on an ETL process where I need to run a Python script within Azure Data Factory (ADF). The script involves data extraction, transformation, and loading (ETL) tasks. I’m aware that ADF supports various ways to execute custom code, but I’m unsure about the best approach to run my Python script efficiently.

Could someone help me understand the different approaches to run a Python ETL script in ADF? Additionally, what factors should I consider when choosing the best approach for my specific use case?

Answer 1

Hi @Aadhil Imam

Thanks for the question and using MS Q&A platform.

To run a Python ETL script in Azure Data Factory (ADF), you can use the following approaches:

1. Azure Batch: You can use Azure Batch to run your Python script in parallel on multiple virtual machines (VMs) to improve performance. This approach is suitable for large-scale data processing.
2. Azure Functions: You can use Azure Functions to run your Python script as a serverless function. This approach is suitable for small-scale data processing.
3. Azure Databricks: You can use Azure Databricks to run your Python script in a distributed environment. This approach is suitable for large-scale data processing and machine learning workloads.

When choosing the best approach for your specific use case, consider the following factors:

1. Data Volume: If you're processing a large volume of data, consider using Azure Batch or Azure Databricks.
2. Processing Time: If you need to process data quickly, consider using Azure Batch or Azure Databricks.
3. Cost: If you're looking for a cost-effective solution, consider using Azure Functions.
4. Complexity: If your ETL process is complex and requires advanced data processing capabilities, consider using Azure Databricks.

For more information, please refer the below articles:

• https://learn.microsoft.com/en-us/azure/batch/tutorial-run-python-batch-azure-data-factory
• https://learn.microsoft.com/en-us/azure/data-factory/control-flow-azure-function-activity
• https://learn.microsoft.com/en-us/azure/data-factory/transform-data-databricks-python

Hope this helps. Do let us know if you any further queries.

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