I'm working on a data integration project using Matillion, and I'm looking to optimize the performance of my data-loading processes. While I've successfully built and executed ETL pipelines, I've noticed that as the volume of data increases, the load times also seem to be increasing.
I'm curious to learn about best practices and strategies for improving data load performance in Matillion. Are there any specific techniques you recommend for enhancing the speed of data extraction, transformation, and loading? Are there certain features within Matillion that can be leveraged to fine-tune the process for better performance?
Additionally, I'm interested in understanding how parallel processing, instance sizing, and resource allocation play a role in optimizing ETL performance. Any insights, examples, or lessons learned from your experiences would be greatly appreciated!