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Dealing with latency issues in Azure Data Factory (ADF) when sending data to Microsoft CRM can be challenging. Here are some steps you can take to address this:
- Optimize API Calls: Ensure that your API calls are optimized. This includes checking the performance of the external REST APIs, as they might be causing delays
- Parallelism and Concurrency: Increase the degree of parallelism and concurrency in your ADF pipeline settings. This can help in processing multiple API calls simultaneously, reducing overall latency
- Timeout Settings: Review and adjust the timeout settings for your activities. Sometimes, increasing the timeout can help manage longer-running processes more effectively
- Batch Processing: If possible, batch your data before sending it to the CRM. This can reduce the number of API calls and improve performance
- Monitoring and Logging: Enable detailed logging and monitoring to identify where the delays are occurring. This can help you pinpoint specific bottlenecks in your pipeline
- Resource Allocation: Ensure that your ADF instance has sufficient resources allocated. Sometimes, increasing the Data Integration Units (DIUs) can help improve performance
Is there a specific part of your pipeline where you're noticing the most delay?