Loading data with append option using dataflow and problem with the deleted rows

Hi anusha_2023 

Thank you very much frithjof_v and lbendlin for your prompt reply.

Your plan for handling stream updates and deletions is comprehensive.

Some suggestions for reducing computing overhead:

Make sure your Lakehouse table has a primary key constraint, which will prevent duplicate rows from being inserted.

Deduplication logic can be implemented directly in the data flow. Use Power Query to remove duplicates based on the primary key before loading the data into Lakehouse.

The separation of ETL processes into staging and transforming data streams can help optimize refresh times and reduce computational overhead.

Periodically monitor the performance of data streams and optimize queries to ensure efficient data processing.

Best practices for creating a dimensional model using dataflows - Power Query | Microsoft Learn

Regards,

Nono Chen

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Hi anusha_2023 

Perhaps you can consider configuring incremental refreshes.

Make sure your data extraction process is incremental, meaning it only gets new records or changed records since the last load.

Regards,

Nono Chen

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