Qlik Sense Load Script Performance Issue with Large Data Volumes
Hi everyone, I’m working on a Qlik Sense application that loads a large dataset, and the reload process has become increasingly slow as the data volume grows. I’ve already optimized some joins and removed unnecessary fields, but the reload time is still high. aarpmembership com
What are the best practices for optimizing Qlik Sense load scripts when working with large datasets? Are there specific techniques around incremental loads, joins, resident loads, or data model design that could significantly improve reload performance?
Any suggestions or examples would be greatly appreciated.
There are probably various possibilities to improve the performance and to reduce the runtimes. Always be working is not to load all data with all transformations each time else to implement incremental approaches.
Before starting with such an approach you should analyze the current runtimes to detect those parts which need the most time and also defining appropriate time-frames in which the parts and the overall execution should have to be finished to get a focus on the biggest bottlenecks.
