ADF full-load pipelines ran for nearly 10 hours, and incremental loads ran for about 45 minutes, driving high Azure resource consumption and increasing platform costs.
The team managed six separate ADF pipelines for full and incremental processing, increasing orchestration complexity and maintenance overhead.
The team executed weekly full reloads to address source-side hard deletes, adding unnecessary processing time.
Business reports diverged from source data until the team ran a full load to realign datasets.
Long-running full loads frequently timed out, forcing production support teams to monitor pipelines continuously and intervene manually.