Running SSIS packages in Azure Data Factory - scaling and monitoring

This post explores the process of running SSIS packages in Azure Data Factory and the importance of scaling and monitoring in the process.

Scaling is crucial when working with large amounts of data, and it's essential to ensure that SSIS packages can effectively manage the load. Through this post, you'll learn how to scale your SSIS packages within Azure Data Factory to ensure optimal performance and avoid issues such as job failures, data loss and downtime.

Moreover, monitoring SSIS packages is also a critical aspect of ensuring you are aware of any issues that arise before they wreak havoc on the system. Proper monitoring enables you to identify bottlenecks and other problems that may affect the performance of the system. Through Azure Data Factory, you can monitor your SSIS packages and keep a close eye on their health and performance.

Overall, this post outlines the steps required to run SSIS packages in Azure Data Factory successfully, including scaling and monitoring best practices. If you're looking to take your SSIS package deployment to the cloud, this post serves as an excellent starting point.

Link: http://jopx.blogspot.com/2023/12/running-ssis-packages-in-azure-data.html