MS Fabric Incremental loading

Hi Fisayo99 

The Copy Data Pipeline in Azure Data Factory (ADF) is a robust choice for incremental loading. It allows you to efficiently move data from various sources into a centralized data store, catering to your need for a reporting platform solution. Utilize the watermark method for incremental loads. This involves tracking the last successfully loaded timestamp (or an equivalent unique identifier) and using it to load only new or updated records since that timestamp. ADF provides built-in support for scheduling pipelines. You can use the Trigger feature to schedule your incremental load jobs. For heavy volume tables, consider partitioning your data and parallelizing the copy activity to enhance performance.

Here for your reference:

Incrementally load data from Data Warehouse to Lakehouse - Microsoft Fabric | Microsoft Learn

Pattern to incrementally amass data with Dataflow Gen2 - Microsoft Fabric | Microsoft Learn

Best Regards

Zhengdong Xu
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